| 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 | ... | fBodyBodyGyroJerkMag-kurtosis() | angle(tBodyAccMean,gravity) | angle(tBodyAccJerkMean),gravityMean) | angle(tBodyGyroMean,gravityMean) | angle(tBodyGyroJerkMean,gravityMean) | angle(X,gravityMean) | angle(Y,gravityMean) | angle(Z,gravityMean) | subject | Activity | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.288585 | -0.020294 | -0.132905 | -0.995279 | -0.983111 | -0.913526 | -0.995112 | -0.983185 | -0.923527 | -0.934724 | ... | -0.710304 | -0.112754 | 0.030400 | -0.464761 | -0.018446 | -0.841247 | 0.179941 | -0.058627 | 1 | STANDING |
| 1 | 0.278419 | -0.016411 | -0.123520 | -0.998245 | -0.975300 | -0.960322 | -0.998807 | -0.974914 | -0.957686 | -0.943068 | ... | -0.861499 | 0.053477 | -0.007435 | -0.732626 | 0.703511 | -0.844788 | 0.180289 | -0.054317 | 1 | STANDING |
| 2 | 0.279653 | -0.019467 | -0.113462 | -0.995380 | -0.967187 | -0.978944 | -0.996520 | -0.963668 | -0.977469 | -0.938692 | ... | -0.760104 | -0.118559 | 0.177899 | 0.100699 | 0.808529 | -0.848933 | 0.180637 | -0.049118 | 1 | STANDING |
| 3 | 0.279174 | -0.026201 | -0.123283 | -0.996091 | -0.983403 | -0.990675 | -0.997099 | -0.982750 | -0.989302 | -0.938692 | ... | -0.482845 | -0.036788 | -0.012892 | 0.640011 | -0.485366 | -0.848649 | 0.181935 | -0.047663 | 1 | STANDING |
| 4 | 0.276629 | -0.016570 | -0.115362 | -0.998139 | -0.980817 | -0.990482 | -0.998321 | -0.979672 | -0.990441 | -0.942469 | ... | -0.699205 | 0.123320 | 0.122542 | 0.693578 | -0.615971 | -0.847865 | 0.185151 | -0.043892 | 1 | STANDING |
5 rows × 563 columns
| 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 | ... | fBodyBodyGyroJerkMag-kurtosis() | angle(tBodyAccMean,gravity) | angle(tBodyAccJerkMean),gravityMean) | angle(tBodyGyroMean,gravityMean) | angle(tBodyGyroJerkMean,gravityMean) | angle(X,gravityMean) | angle(Y,gravityMean) | angle(Z,gravityMean) | subject | Activity | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0.257178 | -0.023285 | -0.014654 | -0.938404 | -0.920091 | -0.667683 | -0.952501 | -0.925249 | -0.674302 | -0.894088 | ... | -0.705974 | 0.006462 | 0.162920 | -0.825886 | 0.271151 | -0.720009 | 0.276801 | -0.057978 | 2 | STANDING |
| 1 | 0.286027 | -0.013163 | -0.119083 | -0.975415 | -0.967458 | -0.944958 | -0.986799 | -0.968401 | -0.945823 | -0.894088 | ... | -0.594944 | -0.083495 | 0.017500 | -0.434375 | 0.920593 | -0.698091 | 0.281343 | -0.083898 | 2 | STANDING |
| 2 | 0.275485 | -0.026050 | -0.118152 | -0.993819 | -0.969926 | -0.962748 | -0.994403 | -0.970735 | -0.963483 | -0.939260 | ... | -0.640736 | -0.034956 | 0.202302 | 0.064103 | 0.145068 | -0.702771 | 0.280083 | -0.079346 | 2 | STANDING |
| 3 | 0.270298 | -0.032614 | -0.117520 | -0.994743 | -0.973268 | -0.967091 | -0.995274 | -0.974471 | -0.968897 | -0.938610 | ... | -0.736124 | -0.017067 | 0.154438 | 0.340134 | 0.296407 | -0.698954 | 0.284114 | -0.077108 | 2 | STANDING |
| 4 | 0.274833 | -0.027848 | -0.129527 | -0.993852 | -0.967445 | -0.978295 | -0.994111 | -0.965953 | -0.977346 | -0.938610 | ... | -0.846595 | -0.002223 | -0.040046 | 0.736715 | -0.118545 | -0.692245 | 0.290722 | -0.073857 | 2 | STANDING |
5 rows × 563 columns
| 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 | ... | fBodyBodyGyroJerkMag-skewness() | fBodyBodyGyroJerkMag-kurtosis() | angle(tBodyAccMean,gravity) | angle(tBodyAccJerkMean),gravityMean) | angle(tBodyGyroMean,gravityMean) | angle(tBodyGyroJerkMean,gravityMean) | angle(X,gravityMean) | angle(Y,gravityMean) | angle(Z,gravityMean) | subject | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | ... | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 | 7352.000000 |
| mean | 0.274488 | -0.017695 | -0.109141 | -0.605438 | -0.510938 | -0.604754 | -0.630512 | -0.526907 | -0.606150 | -0.468604 | ... | -0.307009 | -0.625294 | 0.008684 | 0.002186 | 0.008726 | -0.005981 | -0.489547 | 0.058593 | -0.056515 | 17.413085 |
| std | 0.070261 | 0.040811 | 0.056635 | 0.448734 | 0.502645 | 0.418687 | 0.424073 | 0.485942 | 0.414122 | 0.544547 | ... | 0.321011 | 0.307584 | 0.336787 | 0.448306 | 0.608303 | 0.477975 | 0.511807 | 0.297480 | 0.279122 | 8.975143 |
| min | -1.000000 | -1.000000 | -1.000000 | -1.000000 | -0.999873 | -1.000000 | -1.000000 | -1.000000 | -1.000000 | -1.000000 | ... | -0.995357 | -0.999765 | -0.976580 | -1.000000 | -1.000000 | -1.000000 | -1.000000 | -1.000000 | -1.000000 | 1.000000 |
| 25% | 0.262975 | -0.024863 | -0.120993 | -0.992754 | -0.978129 | -0.980233 | -0.993591 | -0.978162 | -0.980251 | -0.936219 | ... | -0.542602 | -0.845573 | -0.121527 | -0.289549 | -0.482273 | -0.376341 | -0.812065 | -0.017885 | -0.143414 | 8.000000 |
| 50% | 0.277193 | -0.017219 | -0.108676 | -0.946196 | -0.851897 | -0.859365 | -0.950709 | -0.857328 | -0.857143 | -0.881637 | ... | -0.343685 | -0.711692 | 0.009509 | 0.008943 | 0.008735 | -0.000368 | -0.709417 | 0.182071 | 0.003181 | 19.000000 |
| 75% | 0.288461 | -0.010783 | -0.097794 | -0.242813 | -0.034231 | -0.262415 | -0.292680 | -0.066701 | -0.265671 | -0.017129 | ... | -0.126979 | -0.503878 | 0.150865 | 0.292861 | 0.506187 | 0.359368 | -0.509079 | 0.248353 | 0.107659 | 26.000000 |
| max | 1.000000 | 1.000000 | 1.000000 | 1.000000 | 0.916238 | 1.000000 | 1.000000 | 0.967664 | 1.000000 | 1.000000 | ... | 0.989538 | 0.956845 | 1.000000 | 1.000000 | 0.998702 | 0.996078 | 1.000000 | 0.478157 | 1.000000 | 30.000000 |
8 rows × 562 columns
RandomizedSearchCV(cv=None, error_score=nan,
estimator=DecisionTreeClassifier(ccp_alpha=0.0,
class_weight=None,
criterion='gini',
max_depth=None,
max_features=None,
max_leaf_nodes=None,
min_impurity_decrease=0.0,
min_impurity_split=None,
min_samples_leaf=1,
min_samples_split=2,
min_weight_fraction_leaf=0.0,
presort='deprecated',
random_state=None,
splitter='best'),
iid='deprecated', n_iter=10, n_jobs=None,
param_distributions={'criterion': ['gini', 'entropy'],
'max_depth': [5, 6, 7, 8, 9, 10, 15],
'min_samples_leaf': [2, 4, 6]},
pre_dispatch='2*n_jobs', random_state=42, refit=True,
return_train_score=False, scoring=None, verbose=0)
precision recall f1-score support
LAYING 1.00 1.00 1.00 537
SITTING 0.82 0.81 0.81 491
STANDING 0.83 0.83 0.83 532
WALKING 0.82 0.91 0.86 496
WALKING_DOWNSTAIRS 0.82 0.86 0.84 420
WALKING_UPSTAIRS 0.86 0.73 0.79 471
accuracy 0.86 2947
macro avg 0.86 0.86 0.86 2947
weighted avg 0.86 0.86 0.86 2947
GridSearchCV(cv=10, error_score=nan,
estimator=KNeighborsClassifier(algorithm='auto', leaf_size=30,
metric='minkowski',
metric_params=None, n_jobs=None,
n_neighbors=5, p=2,
weights='uniform'),
iid='deprecated', n_jobs=None,
param_grid={'leaf_size': [100, 200, 400],
'n_neighbors': [5, 10, 15, 20],
'weights': ['uniform', 'distance']},
pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
scoring=None, verbose=0)
{'mean_fit_time': array([0.9833288 , 1.01018047, 0.97393866, 1.03180003, 1.00484285,
1.0009861 , 0.95736079, 0.95537102, 0.86311636, 0.83865423,
0.84260538, 0.81234019, 0.81643698, 0.82432711, 0.83826373,
0.81385148, 0.69424596, 0.72932589, 0.69188905, 0.71505296,
0.68060167, 0.73592076, 0.73995571, 0.75275621]),
'std_fit_time': array([0.06628775, 0.06133024, 0.02741047, 0.03346197, 0.02662681,
0.0371974 , 0.04174371, 0.03046969, 0.02637069, 0.04391606,
0.02216211, 0.02602417, 0.02653173, 0.03268621, 0.02836933,
0.01965087, 0.02920461, 0.05515497, 0.03741543, 0.01354451,
0.03011129, 0.04008596, 0.02800346, 0.04655738]),
'mean_score_time': array([1.06189265, 1.07332931, 1.10777717, 1.13303299, 1.21390772,
1.17987356, 1.23332827, 1.17406003, 1.04527724, 1.01447372,
1.08605642, 1.03799293, 1.08341451, 1.07243233, 1.13417971,
1.11480918, 1.02674885, 1.005845 , 1.08556042, 1.03169703,
1.08297384, 1.11800549, 1.16635559, 1.17006154]),
'std_score_time': array([0.23956356, 0.26363011, 0.2598528 , 0.25333403, 0.27462399,
0.26992445, 0.28593096, 0.2628897 , 0.24671801, 0.2257647 ,
0.27324628, 0.21937784, 0.26188519, 0.25724271, 0.25782156,
0.26369499, 0.27830301, 0.2187268 , 0.27953336, 0.25301241,
0.24835224, 0.26079719, 0.29660296, 0.27657547]),
'param_leaf_size': masked_array(data=[100, 100, 100, 100, 100, 100, 100, 100, 200, 200, 200,
200, 200, 200, 200, 200, 400, 400, 400, 400, 400, 400,
400, 400],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False],
fill_value='?',
dtype=object),
'param_n_neighbors': masked_array(data=[5, 5, 10, 10, 15, 15, 20, 20, 5, 5, 10, 10, 15, 15, 20,
20, 5, 5, 10, 10, 15, 15, 20, 20],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False],
fill_value='?',
dtype=object),
'param_weights': masked_array(data=['uniform', 'distance', 'uniform', 'distance',
'uniform', 'distance', 'uniform', 'distance',
'uniform', 'distance', 'uniform', 'distance',
'uniform', 'distance', 'uniform', 'distance',
'uniform', 'distance', 'uniform', 'distance',
'uniform', 'distance', 'uniform', 'distance'],
mask=[False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False],
fill_value='?',
dtype=object),
'params': [{'leaf_size': 100, 'n_neighbors': 5, 'weights': 'uniform'},
{'leaf_size': 100, 'n_neighbors': 5, 'weights': 'distance'},
{'leaf_size': 100, 'n_neighbors': 10, 'weights': 'uniform'},
{'leaf_size': 100, 'n_neighbors': 10, 'weights': 'distance'},
{'leaf_size': 100, 'n_neighbors': 15, 'weights': 'uniform'},
{'leaf_size': 100, 'n_neighbors': 15, 'weights': 'distance'},
{'leaf_size': 100, 'n_neighbors': 20, 'weights': 'uniform'},
{'leaf_size': 100, 'n_neighbors': 20, 'weights': 'distance'},
{'leaf_size': 200, 'n_neighbors': 5, 'weights': 'uniform'},
{'leaf_size': 200, 'n_neighbors': 5, 'weights': 'distance'},
{'leaf_size': 200, 'n_neighbors': 10, 'weights': 'uniform'},
{'leaf_size': 200, 'n_neighbors': 10, 'weights': 'distance'},
{'leaf_size': 200, 'n_neighbors': 15, 'weights': 'uniform'},
{'leaf_size': 200, 'n_neighbors': 15, 'weights': 'distance'},
{'leaf_size': 200, 'n_neighbors': 20, 'weights': 'uniform'},
{'leaf_size': 200, 'n_neighbors': 20, 'weights': 'distance'},
{'leaf_size': 400, 'n_neighbors': 5, 'weights': 'uniform'},
{'leaf_size': 400, 'n_neighbors': 5, 'weights': 'distance'},
{'leaf_size': 400, 'n_neighbors': 10, 'weights': 'uniform'},
{'leaf_size': 400, 'n_neighbors': 10, 'weights': 'distance'},
{'leaf_size': 400, 'n_neighbors': 15, 'weights': 'uniform'},
{'leaf_size': 400, 'n_neighbors': 15, 'weights': 'distance'},
{'leaf_size': 400, 'n_neighbors': 20, 'weights': 'uniform'},
{'leaf_size': 400, 'n_neighbors': 20, 'weights': 'distance'}],
'split0_test_score': array([0.74320652, 0.74048913, 0.72826087, 0.73777174, 0.72554348,
0.72282609, 0.72418478, 0.72418478, 0.74320652, 0.74048913,
0.72826087, 0.73777174, 0.72554348, 0.72282609, 0.72418478,
0.72418478, 0.74320652, 0.74048913, 0.72826087, 0.73777174,
0.72554348, 0.72282609, 0.72418478, 0.72418478]),
'split1_test_score': array([0.81793478, 0.81929348, 0.8111413 , 0.81929348, 0.80298913,
0.80434783, 0.79891304, 0.80298913, 0.81793478, 0.81929348,
0.8111413 , 0.81929348, 0.80298913, 0.80434783, 0.79891304,
0.80298913, 0.81793478, 0.81929348, 0.8111413 , 0.81929348,
0.80298913, 0.80434783, 0.79891304, 0.80298913]),
'split2_test_score': array([0.80136054, 0.79319728, 0.78911565, 0.78231293, 0.78503401,
0.78367347, 0.77823129, 0.77687075, 0.80136054, 0.79319728,
0.78911565, 0.78231293, 0.78503401, 0.78367347, 0.77823129,
0.77687075, 0.80136054, 0.79319728, 0.78911565, 0.78231293,
0.78503401, 0.78367347, 0.77823129, 0.77687075]),
'split3_test_score': array([0.72244898, 0.71972789, 0.71972789, 0.72380952, 0.7170068 ,
0.7170068 , 0.72108844, 0.7170068 , 0.72244898, 0.71972789,
0.71972789, 0.72380952, 0.7170068 , 0.7170068 , 0.72108844,
0.7170068 , 0.72244898, 0.71972789, 0.71972789, 0.72380952,
0.7170068 , 0.7170068 , 0.72108844, 0.7170068 ]),
'split4_test_score': array([0.84081633, 0.84489796, 0.84081633, 0.84217687, 0.82721088,
0.83129252, 0.83401361, 0.82993197, 0.84081633, 0.84489796,
0.84081633, 0.84217687, 0.82721088, 0.83129252, 0.83401361,
0.82993197, 0.84081633, 0.84489796, 0.84081633, 0.84217687,
0.82721088, 0.83129252, 0.83401361, 0.82993197]),
'split5_test_score': array([0.87346939, 0.87346939, 0.8707483 , 0.86938776, 0.86938776,
0.86938776, 0.85578231, 0.86258503, 0.87346939, 0.87346939,
0.8707483 , 0.86938776, 0.86938776, 0.86938776, 0.85578231,
0.86258503, 0.87346939, 0.87346939, 0.8707483 , 0.86938776,
0.86938776, 0.86938776, 0.85578231, 0.86258503]),
'split6_test_score': array([0.88435374, 0.88707483, 0.88435374, 0.89659864, 0.89795918,
0.89795918, 0.89387755, 0.8952381 , 0.88435374, 0.88707483,
0.88435374, 0.89659864, 0.89795918, 0.89795918, 0.89387755,
0.8952381 , 0.88435374, 0.88707483, 0.88435374, 0.89659864,
0.89795918, 0.89795918, 0.89387755, 0.8952381 ]),
'split7_test_score': array([0.81904762, 0.81496599, 0.82721088, 0.81632653, 0.82040816,
0.81768707, 0.83537415, 0.82585034, 0.81904762, 0.81496599,
0.82721088, 0.81632653, 0.82040816, 0.81768707, 0.83537415,
0.82585034, 0.81904762, 0.81496599, 0.82721088, 0.81632653,
0.82040816, 0.81768707, 0.83537415, 0.82585034]),
'split8_test_score': array([0.88571429, 0.88707483, 0.90748299, 0.90340136, 0.90340136,
0.9047619 , 0.89931973, 0.8952381 , 0.88571429, 0.88707483,
0.90748299, 0.90340136, 0.90340136, 0.9047619 , 0.89931973,
0.8952381 , 0.88571429, 0.88707483, 0.90748299, 0.90340136,
0.90340136, 0.9047619 , 0.89931973, 0.8952381 ]),
'split9_test_score': array([0.88163265, 0.87755102, 0.89659864, 0.90068027, 0.88843537,
0.88979592, 0.89115646, 0.89659864, 0.88163265, 0.87755102,
0.89659864, 0.90068027, 0.88843537, 0.88979592, 0.89115646,
0.89659864, 0.88163265, 0.87755102, 0.89659864, 0.90068027,
0.88843537, 0.88979592, 0.89115646, 0.89659864]),
'mean_test_score': array([0.82699848, 0.82577418, 0.82754566, 0.82917591, 0.82373761,
0.82387385, 0.82319414, 0.82264936, 0.82699848, 0.82577418,
0.82754566, 0.82917591, 0.82373761, 0.82387385, 0.82319414,
0.82264936, 0.82699848, 0.82577418, 0.82754566, 0.82917591,
0.82373761, 0.82387385, 0.82319414, 0.82264936]),
'std_test_score': array([0.05552198, 0.0570757 , 0.06297321, 0.06234568, 0.06411713,
0.06493891, 0.0629104 , 0.06403336, 0.05552198, 0.0570757 ,
0.06297321, 0.06234568, 0.06411713, 0.06493891, 0.0629104 ,
0.06403336, 0.05552198, 0.0570757 , 0.06297321, 0.06234568,
0.06411713, 0.06493891, 0.0629104 , 0.06403336]),
'rank_test_score': array([ 7, 10, 4, 1, 16, 13, 19, 22, 7, 10, 4, 1, 16, 13, 19, 22, 7,
10, 4, 1, 16, 13, 19, 22])}