Human Activity Recognition using Machine Learning
Human activity recognition is the problem of classifying sequences of data recorded by specialized harnesses or smart phones into known well-defined Human activities.
• 28 min read
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
import warnings
warnings.filterwarnings("ignore")
train = pd.read_csv("train-1.csv")
test = pd.read_csv("test.csv")
train['Data'] = 'Train'
test['Data'] = 'Test'
both = pd.concat([train, test], axis=0).reset_index(drop=True)
both['subject'] = '#' + both['subject'].astype(str)
train.shape, test.shape
((7352, 564), (2947, 564))
both.head()
| tBodyAcc-mean()-X | tBodyAcc-mean()-Y | tBodyAcc-mean()-Z | tBodyAcc-std()-X | tBodyAcc-std()-Y | tBodyAcc-std()-Z | tBodyAcc-mad()-X | tBodyAcc-mad()-Y | tBodyAcc-mad()-Z | tBodyAcc-max()-X | ... | angle(tBodyAccMean,gravity) | angle(tBodyAccJerkMean),gravityMean) | angle(tBodyGyroMean,gravityMean) | angle(tBodyGyroJerkMean,gravityMean) | angle(X,gravityMean) | angle(Y,gravityMean) | angle(Z,gravityMean) | subject | Activity | Data | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.288585 | -0.020294 | -0.132905 | -0.995279 | -0.983111 | -0.913526 | -0.995112 | -0.983185 | -0.923527 | -0.934724 | ... | -0.112754 | 0.030400 | -0.464761 | -0.018446 | -0.841247 | 0.179941 | -0.058627 | #1 | STANDING | Train |
| 1 | 0.278419 | -0.016411 | -0.123520 | -0.998245 | -0.975300 | -0.960322 | -0.998807 | -0.974914 | -0.957686 | -0.943068 | ... | 0.053477 | -0.007435 | -0.732626 | 0.703511 | -0.844788 | 0.180289 | -0.054317 | #1 | STANDING | Train |
| 2 | 0.279653 | -0.019467 | -0.113462 | -0.995380 | -0.967187 | -0.978944 | -0.996520 | -0.963668 | -0.977469 | -0.938692 | ... | -0.118559 | 0.177899 | 0.100699 | 0.808529 | -0.848933 | 0.180637 | -0.049118 | #1 | STANDING | Train |
| 3 | 0.279174 | -0.026201 | -0.123283 | -0.996091 | -0.983403 | -0.990675 | -0.997099 | -0.982750 | -0.989302 | -0.938692 | ... | -0.036788 | -0.012892 | 0.640011 | -0.485366 | -0.848649 | 0.181935 | -0.047663 | #1 | STANDING | Train |
| 4 | 0.276629 | -0.016570 | -0.115362 | -0.998139 | -0.980817 | -0.990482 | -0.998321 | -0.979672 | -0.990441 | -0.942469 | ... | 0.123320 | 0.122542 | 0.693578 | -0.615971 | -0.847865 | 0.185151 | -0.043892 | #1 | STANDING | Train |
5 rows × 564 columns
both.dtypes.value_counts()
float64 561 object 3 dtype: int64
def basic_details(df):
b = pd.DataFrame()
b['Missing value'] = df.isnull().sum()
b['N unique value'] = df.nunique()
b['dtype'] = df.dtypes
return b
basic_details(both)
| Missing value | N unique value | dtype | |
|---|---|---|---|
| tBodyAcc-mean()-X | 0 | 10292 | float64 |
| tBodyAcc-mean()-Y | 0 | 10299 | float64 |
| tBodyAcc-mean()-Z | 0 | 10293 | float64 |
| tBodyAcc-std()-X | 0 | 10295 | float64 |
| tBodyAcc-std()-Y | 0 | 10297 | float64 |
| ... | ... | ... | ... |
| angle(Y,gravityMean) | 0 | 10299 | float64 |
| angle(Z,gravityMean) | 0 | 10299 | float64 |
| subject | 0 | 30 | object |
| Activity | 0 | 6 | object |
| Data | 0 | 2 | object |
564 rows × 3 columns
activity = both['Activity']
label_counts = activity.value_counts()
plt.figure(figsize= (12, 8))
plt.bar(label_counts.index, label_counts)
<BarContainer object of 6 artists>
Data = both['Data']
Subject = both['subject']
train = both.copy()
train = train.drop(['Data','subject','Activity'], axis =1)
from sklearn.preprocessing import StandardScaler
slc = StandardScaler()
train = slc.fit_transform(train)
# dimensionality reduction
from sklearn.decomposition import PCA
pca = PCA(n_components=0.9, random_state=0)
train = pca.fit_transform(train)
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(train, activity, test_size = 0.2, random_state = 0)
num_folds = 10
seed = 0
scoring = 'accuracy'
results = {}
accuracy = {}
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import confusion_matrix, accuracy_score, classification_report
from sklearn.model_selection import KFold, cross_val_score
model = KNeighborsClassifier(algorithm= 'auto', n_neighbors= 8, p= 1, weights= 'distance')
_ = cross_val_score(model, X_train, y_train, cv=10, scoring=scoring)
results["GScv"] = (_.mean(), _.std())
model.fit(X_train, y_train)
y_predict = model.predict(X_test)
accuracy["GScv"] = accuracy_score(y_test, y_predict)
print(classification_report(y_test, y_predict))
cm= confusion_matrix(y_test, y_predict)
sns.heatmap(cm, annot=True)
/srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:670: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_folds = np.zeros(n_samples, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:442: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations fold_sizes = np.full(n_splits, n_samples // n_splits, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:442: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations fold_sizes = np.full(n_splits, n_samples // n_splits, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:442: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations fold_sizes = np.full(n_splits, n_samples // n_splits, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:442: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations fold_sizes = np.full(n_splits, n_samples // n_splits, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:442: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations fold_sizes = np.full(n_splits, n_samples // n_splits, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:442: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations fold_sizes = np.full(n_splits, n_samples // n_splits, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/model_selection/_split.py:102: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(_num_samples(X), dtype=np.bool) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int) /srv/conda/envs/notebook/lib/python3.7/site-packages/sklearn/neighbors/base.py:908: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self._y = np.empty(y.shape, dtype=np.int)
precision recall f1-score support
LAYING 1.00 1.00 1.00 377
SITTING 0.92 0.87 0.90 364
STANDING 0.89 0.93 0.91 390
WALKING 0.96 0.99 0.97 335
WALKING_DOWNSTAIRS 0.99 0.95 0.97 278
WALKING_UPSTAIRS 0.98 0.98 0.98 316
accuracy 0.95 2060
macro avg 0.96 0.95 0.95 2060
weighted avg 0.95 0.95 0.95 2060
<matplotlib.axes._subplots.AxesSubplot at 0x7f27240e4f90>
