10080700
1
Jan van Rijn
14
Supervised Classification
8815
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1)
8005687
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"median"
8778
verbose
0
8778
copy
true
8779
with_mean
true
8779
with_std
true
8779
memory
null
8780
copy
true
8781
fill_value
-1
8781
missing_values
NaN
8781
strategy
"constant"
8781
verbose
0
8781
categorical_features
null
8782
categories
null
8782
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8782
handle_unknown
"ignore"
8782
n_values
null
8782
sparse
true
8782
class_weight
null
8783
criterion
"entropy"
8783
max_depth
null
8783
max_features
1.0
8783
max_leaf_nodes
null
8783
min_impurity_decrease
0.0
8783
min_impurity_split
null
8783
min_samples_leaf
15
8783
min_samples_split
9
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
11421
8783
splitter
"best"
8783
n_jobs
null
8812
remainder
"passthrough"
8812
sparse_threshold
0.3
8812
transformer_weights
null
8812
memory
null
8813
memory
null
8815
threshold
0.0
8816
openml-python
Sklearn_0.20.0.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21081936
description
https://api.openml.org/data/download/21081936/description.xml
-1
21081937
predictions
https://api.openml.org/data/download/21081937/predictions.arff
area_under_roc_curve
0.9440813888888889 [0.991433,0.905844,0.971428,0.944125,0.93206,0.955854,0.893949,0.974417,0.977292,0.894413]
average_cost
0
f_measure
0.748715374893802 [0.953317,0.659091,0.895288,0.762136,0.690176,0.820779,0.480818,0.846715,0.937343,0.441489]
kappa
0.7222222222222222
kb_relative_information_score
1524.9921442016441
mean_absolute_error
0.05825828000824663
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.749905728590597 [0.937198,0.604167,0.93956,0.740566,0.695431,0.854054,0.492147,0.824645,0.939698,0.471591]
predictive_accuracy
0.75
prior_entropy
3.321928094887362
recall
0.75 [0.97,0.725,0.855,0.785,0.685,0.79,0.47,0.87,0.935,0.415]
relative_absolute_error
0.32365711115691576
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18837543756239175
root_relative_squared_error
0.6279181252079629
total_cost
0
area_under_roc_curve
0.947638888888889 [0.999722,0.946389,0.964444,0.882778,0.952917,0.997778,0.870556,0.968889,0.9975,0.895417]
area_under_roc_curve
0.9213472222222222 [0.971528,0.911806,0.94,0.93,0.8625,0.898611,0.887083,0.987083,0.948056,0.876806]
area_under_roc_curve
0.9386666666666666 [0.974167,0.887222,0.944583,0.8925,0.974167,0.989167,0.893056,0.942778,0.996944,0.892083]
area_under_roc_curve
0.9418472222222222 [0.996944,0.885,0.972361,0.987222,0.910278,0.900417,0.89625,0.994167,0.973889,0.901944]
area_under_roc_curve
0.9422916666666667 [1,0.888611,0.966806,0.9325,0.973194,0.962083,0.924861,0.931111,0.996667,0.847083]
area_under_roc_curve
0.9551250000000002 [0.999861,0.924583,0.99875,0.98375,0.944861,0.940556,0.868889,0.981806,0.99875,0.909444]
area_under_roc_curve
0.9610277777777779 [0.999722,0.953194,0.971389,0.961111,0.978611,0.978056,0.924861,0.965,0.974444,0.903889]
area_under_roc_curve
0.9317916666666668 [0.973472,0.853056,0.999444,0.937361,0.86,0.992083,0.9125,0.989028,0.921111,0.879861]
area_under_roc_curve
0.9679027777777778 [0.999722,0.917639,0.997917,0.993194,0.954722,0.970417,0.924306,0.992083,1,0.929028]
area_under_roc_curve
0.9354583333333334 [1,0.893333,0.9625,0.939167,0.916667,0.937083,0.824861,0.993472,0.968889,0.918611]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.72847263671636 [0.97561,0.6,0.842105,0.8,0.790698,0.923077,0.4,0.789474,0.878049,0.285714]
f_measure
0.7122643230827547 [0.95,0.681818,0.833333,0.780488,0.578947,0.684211,0.390244,0.837209,0.947368,0.439024]
f_measure
0.7286431694358524 [0.95,0.625,0.918919,0.666667,0.755556,0.878049,0.358974,0.833333,0.97561,0.324324]
f_measure
0.7406266295491671 [0.904762,0.595745,0.923077,0.826087,0.590909,0.777778,0.540541,0.8,0.947368,0.5]
f_measure
0.7375972821929175 [0.97561,0.636364,0.888889,0.7,0.666667,0.789474,0.5,0.755556,0.97561,0.487805]
f_measure
0.7749419744768231 [0.97561,0.761905,0.947368,0.8,0.647059,0.857143,0.470588,0.844444,0.904762,0.540541]
f_measure
0.7948902595414222 [0.974359,0.75,0.923077,0.761905,0.756757,0.761905,0.65,0.883721,0.974359,0.512821]
f_measure
0.7460244233980687 [0.95,0.604651,0.9,0.636364,0.628571,0.9,0.571429,0.878049,0.864865,0.526316]
f_measure
0.7706254291429083 [0.95,0.666667,0.894737,0.833333,0.790698,0.75,0.487805,0.883721,0.97561,0.473684]
f_measure
0.7453237356248817 [0.930233,0.695652,0.878049,0.8,0.666667,0.864865,0.444444,0.952381,0.926829,0.294118]
kappa
0.7
kappa
0.6777777777777777
kappa
0.7
kappa
0.7111111111111111
kappa
0.7111111111111111
kappa
0.7611111111111112
kappa
0.7722222222222223
kappa
0.7166666666666667
kappa
0.75
kappa
0.7222222222222222
kb_relative_information_score
151.98550115984733
kb_relative_information_score
143.7789605156532
kb_relative_information_score
148.20239364045153
kb_relative_information_score
151.17729644071377
kb_relative_information_score
151.3442512929699
kb_relative_information_score
155.45328813177684
kb_relative_information_score
160.6376756566701
kb_relative_information_score
149.9223285274139
kb_relative_information_score
161.90096844280868
kb_relative_information_score
150.58948039335712
mean_absolute_error
0.057262432786076366
mean_absolute_error
0.06814297937429872
mean_absolute_error
0.061256264915792426
mean_absolute_error
0.057875901290831616
mean_absolute_error
0.059458367696959016
mean_absolute_error
0.05526160402196403
mean_absolute_error
0.04880420557868768
mean_absolute_error
0.062402036268759564
mean_absolute_error
0.05150174450074094
mean_absolute_error
0.06061726364835308
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.7384911554247938 [0.952381,0.5,0.888889,0.933333,0.73913,0.947368,0.4,0.833333,0.857143,0.333333]
precision
0.719987060041408 [0.95,0.625,0.9375,0.761905,0.611111,0.722222,0.380952,0.782609,1,0.428571]
precision
0.7384100324340263 [0.95,0.535714,1,0.75,0.68,0.857143,0.368421,0.9375,0.952381,0.352941]
precision
0.7561027828094392 [0.863636,0.518519,0.947368,0.730769,0.541667,0.875,0.588235,0.933333,1,0.5625]
precision
0.748064935064935 [0.952381,0.583333,1,0.7,0.636364,0.833333,0.666667,0.68,0.952381,0.47619]
precision
0.7786850012732367 [0.952381,0.727273,1,0.72,0.785714,0.818182,0.571429,0.76,0.863636,0.588235]
precision
0.7977846033358215 [1,0.75,0.947368,0.727273,0.823529,0.727273,0.65,0.826087,1,0.526316]
precision
0.7531213486712208 [0.95,0.565217,0.9,0.583333,0.733333,0.9,0.545455,0.857143,0.941176,0.555556]
precision
0.7852518978605935 [0.95,0.75,0.944444,0.714286,0.73913,1,0.47619,0.826087,0.952381,0.5]
precision
0.7537598164836017 [0.869565,0.615385,0.857143,0.933333,0.75,0.941176,0.4,0.909091,0.904762,0.357143]
predictive_accuracy
0.73
predictive_accuracy
0.71
predictive_accuracy
0.73
predictive_accuracy
0.74
predictive_accuracy
0.74
predictive_accuracy
0.785
predictive_accuracy
0.795
predictive_accuracy
0.745
predictive_accuracy
0.775
predictive_accuracy
0.75
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.73 [1,0.75,0.8,0.7,0.85,0.9,0.4,0.75,0.9,0.25]
recall
0.71 [0.95,0.75,0.75,0.8,0.55,0.65,0.4,0.9,0.9,0.45]
recall
0.73 [0.95,0.75,0.85,0.6,0.85,0.9,0.35,0.75,1,0.3]
recall
0.74 [0.95,0.7,0.9,0.95,0.65,0.7,0.5,0.7,0.9,0.45]
recall
0.74 [1,0.7,0.8,0.7,0.7,0.75,0.4,0.85,1,0.5]
recall
0.785 [1,0.8,0.9,0.9,0.55,0.9,0.4,0.95,0.95,0.5]
recall
0.795 [0.95,0.75,0.9,0.8,0.7,0.8,0.65,0.95,0.95,0.5]
recall
0.745 [0.95,0.65,0.9,0.7,0.55,0.9,0.6,0.9,0.8,0.5]
recall
0.775 [0.95,0.6,0.85,1,0.85,0.6,0.5,0.95,1,0.45]
recall
0.75 [1,0.8,0.9,0.7,0.6,0.8,0.5,1,0.95,0.25]
relative_absolute_error
0.3181246265893135
relative_absolute_error
0.3785721076349933
relative_absolute_error
0.34031258286551386
relative_absolute_error
0.3215327849490649
relative_absolute_error
0.33032426498310596
relative_absolute_error
0.3070089112331338
relative_absolute_error
0.2711344754371541
relative_absolute_error
0.34667797927088684
relative_absolute_error
0.2861208027818944
relative_absolute_error
0.3367625758241842
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.19302113004005877
root_mean_squared_error
0.2082590814133393
root_mean_squared_error
0.19420865340669788
root_mean_squared_error
0.19135926832406688
root_mean_squared_error
0.19200827905053375
root_mean_squared_error
0.17818679382834357
root_mean_squared_error
0.17182421145302765
root_mean_squared_error
0.19186377592406628
root_mean_squared_error
0.16672442633788612
root_mean_squared_error
0.1927139519957667
root_relative_squared_error
0.6434037668001963
root_relative_squared_error
0.6941969380444647
root_relative_squared_error
0.6473621780223268
root_relative_squared_error
0.63786422774689
root_relative_squared_error
0.6400275968351129
root_relative_squared_error
0.5939559794278123
root_relative_squared_error
0.5727473715100925
root_relative_squared_error
0.639545919746888
root_relative_squared_error
0.5557480877929541
root_relative_squared_error
0.6423798399858894
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
652.8688380003587
usercpu_time_millis
470.4232320009396
usercpu_time_millis
450.60448799995356
usercpu_time_millis
447.04956999976275
usercpu_time_millis
452.01587399969867
usercpu_time_millis
440.7173359995795
usercpu_time_millis
465.10999300062394
usercpu_time_millis
470.2716320007312
usercpu_time_millis
442.672830000447
usercpu_time_millis
449.8055550002391
usercpu_time_millis_testing
1.980725000066741
usercpu_time_millis_testing
1.342853000096511
usercpu_time_millis_testing
1.3341989997570636
usercpu_time_millis_testing
1.3425719998849672
usercpu_time_millis_testing
1.3334889999896404
usercpu_time_millis_testing
1.328311000179383
usercpu_time_millis_testing
1.32479800049623
usercpu_time_millis_testing
1.3278650003485382
usercpu_time_millis_testing
1.3322419999894919
usercpu_time_millis_testing
1.3288159998410265
usercpu_time_millis_training
650.8881130002919
usercpu_time_millis_training
469.0803790008431
usercpu_time_millis_training
449.2702890001965
usercpu_time_millis_training
445.7069979998778
usercpu_time_millis_training
450.68238499970903
usercpu_time_millis_training
439.38902499940014
usercpu_time_millis_training
463.7851950001277
usercpu_time_millis_training
468.94376700038265
usercpu_time_millis_training
441.3405880004575
usercpu_time_millis_training
448.4767390003981