10149504
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)
8075141
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
8
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
65400
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
21219547
description
https://api.openml.org/data/download/21219547/description.xml
-1
21219548
predictions
https://api.openml.org/data/download/21219548/predictions.arff
area_under_roc_curve
0.9418847222222222 [0.991183,0.899776,0.969833,0.935081,0.929493,0.95805,0.888479,0.976228,0.977289,0.893435]
average_cost
0
f_measure
0.7463668337524152 [0.953317,0.659091,0.895288,0.748792,0.690176,0.814621,0.480818,0.843902,0.937343,0.440318]
kappa
0.7194444444444446
kb_relative_information_score
1517.5015938974093
mean_absolute_error
0.05892994082419218
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.747769589455797 [0.937198,0.604167,0.93956,0.724299,0.695431,0.852459,0.492147,0.82381,0.939698,0.468927]
predictive_accuracy
0.7475
prior_entropy
3.321928094887362
recall
0.7475 [0.97,0.725,0.855,0.775,0.685,0.78,0.47,0.865,0.935,0.415]
relative_absolute_error
0.3273885601343909
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19004762699600364
root_relative_squared_error
0.6334920899866691
total_cost
0
area_under_roc_curve
0.9416527777777778 [0.996667,0.891944,0.964444,0.882778,0.951528,0.997778,0.870556,0.967917,0.9975,0.895417]
area_under_roc_curve
0.9157916666666667 [0.974306,0.911806,0.941528,0.929444,0.864444,0.896944,0.831944,0.987083,0.948333,0.872083]
area_under_roc_curve
0.934027777777778 [0.974028,0.886528,0.945139,0.855556,0.9725,0.986667,0.891667,0.941944,0.996944,0.889306]
area_under_roc_curve
0.9409861111111113 [0.9975,0.885278,0.972361,0.986806,0.908611,0.901806,0.892083,0.99375,0.973889,0.897778]
area_under_roc_curve
0.9453472222222223 [0.999861,0.888194,0.966806,0.933333,0.972778,0.962361,0.925833,0.953889,0.998611,0.851806]
area_under_roc_curve
0.9468055555555555 [0.999861,0.924028,0.99875,0.928889,0.918889,0.938194,0.869722,0.979306,0.99875,0.911667]
area_under_roc_curve
0.9508888888888889 [0.999722,0.899444,0.9475,0.955694,0.980278,0.975972,0.929444,0.962917,0.974444,0.883472]
area_under_roc_curve
0.932777777777778 [0.970833,0.85375,0.999444,0.940278,0.864444,0.992222,0.906806,0.987083,0.92,0.892917]
area_under_roc_curve
0.9679861111111111 [0.999722,0.917639,0.997917,0.993194,0.954722,0.971111,0.924306,0.992222,1,0.929028]
area_under_roc_curve
0.9435833333333333 [1,0.941528,0.967778,0.939444,0.916667,0.964167,0.824861,0.99375,0.969028,0.918611]
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
0.7063709866374285 [0.95,0.681818,0.833333,0.780488,0.578947,0.684211,0.315789,0.837209,0.947368,0.454545]
f_measure
0.7085655530617019 [0.95,0.625,0.918919,0.578947,0.755556,0.820513,0.35,0.833333,0.97561,0.277778]
f_measure
0.7301191871222201 [0.904762,0.595745,0.923077,0.826087,0.590909,0.777778,0.526316,0.764706,0.947368,0.444444]
f_measure
0.7430400221406791 [0.97561,0.636364,0.888889,0.7,0.666667,0.789474,0.529412,0.755556,0.97561,0.512821]
f_measure
0.7704975300323786 [0.97561,0.761905,0.947368,0.755556,0.647059,0.857143,0.470588,0.844444,0.904762,0.540541]
f_measure
0.8054030800542428 [0.974359,0.75,0.923077,0.761905,0.756757,0.761905,0.717949,0.883721,0.974359,0.55]
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
0.6722222222222222
kappa
0.6777777777777777
kappa
0.7
kappa
0.7166666666666667
kappa
0.7555555555555555
kappa
0.7833333333333334
kappa
0.7166666666666667
kappa
0.75
kappa
0.7222222222222222
kb_relative_information_score
150.4928725981612
kb_relative_information_score
142.7682743201399
kb_relative_information_score
145.52566979695274
kb_relative_information_score
150.24122228205763
kb_relative_information_score
151.53716352058984
kb_relative_information_score
154.2440110980032
kb_relative_information_score
160.15619097300282
kb_relative_information_score
149.1961658546212
kb_relative_information_score
162.2760773432957
kb_relative_information_score
151.0639461106035
mean_absolute_error
0.0591957661194097
mean_absolute_error
0.06817413016794953
mean_absolute_error
0.06405332373932184
mean_absolute_error
0.05892876076795579
mean_absolute_error
0.05925836769695904
mean_absolute_error
0.056714003011863
mean_absolute_error
0.04909468176916386
mean_absolute_error
0.06302803348686875
mean_absolute_error
0.050701744500740935
mean_absolute_error
0.06015059698168641
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
0.714034679089027 [0.95,0.625,0.9375,0.761905,0.611111,0.722222,0.333333,0.782609,1,0.416667]
precision
0.7171311612364244 [0.95,0.535714,1,0.611111,0.68,0.842105,0.35,0.9375,0.952381,0.3125]
precision
0.7461086184770395 [0.863636,0.518519,0.947368,0.730769,0.541667,0.875,0.555556,0.928571,1,0.5]
precision
0.7506965140123034 [0.952381,0.583333,1,0.7,0.636364,0.833333,0.642857,0.68,0.952381,0.526316]
precision
0.7746850012732367 [0.952381,0.727273,1,0.68,0.785714,0.818182,0.571429,0.76,0.863636,0.588235]
precision
0.8088372349147689 [1,0.75,0.947368,0.727273,0.823529,0.727273,0.736842,0.826087,1,0.55]
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
0.705
predictive_accuracy
0.71
predictive_accuracy
0.73
predictive_accuracy
0.745
predictive_accuracy
0.78
predictive_accuracy
0.805
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
0.705 [0.95,0.75,0.75,0.8,0.55,0.65,0.3,0.9,0.9,0.5]
recall
0.71 [0.95,0.75,0.85,0.55,0.85,0.8,0.35,0.75,1,0.25]
recall
0.73 [0.95,0.7,0.9,0.95,0.65,0.7,0.5,0.65,0.9,0.4]
recall
0.745 [1,0.7,0.8,0.7,0.7,0.75,0.45,0.85,1,0.5]
recall
0.78 [1,0.8,0.9,0.85,0.55,0.9,0.4,0.95,0.95,0.5]
recall
0.805 [0.95,0.75,0.9,0.8,0.7,0.8,0.7,0.95,0.95,0.55]
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
0.3288653673300543
relative_absolute_error
0.37874516759972005
relative_absolute_error
0.3558517985517884
relative_absolute_error
0.32738200426642144
relative_absolute_error
0.329213153871995
relative_absolute_error
0.31507779451035034
relative_absolute_error
0.27274823205091064
relative_absolute_error
0.35015574159371565
relative_absolute_error
0.28167635833745
relative_absolute_error
0.3341699832315916
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
0.19610496332816585
root_mean_squared_error
0.2100792873789511
root_mean_squared_error
0.200422103353107
root_mean_squared_error
0.19335483857321648
root_mean_squared_error
0.1910336250261045
root_mean_squared_error
0.18108645579291185
root_mean_squared_error
0.17375796562031756
root_mean_squared_error
0.19403198856052695
root_mean_squared_error
0.1664309363066838
root_mean_squared_error
0.19028867124697094
root_relative_squared_error
0.6536832110938866
root_relative_squared_error
0.7002642912631707
root_relative_squared_error
0.6680736778436903
root_relative_squared_error
0.6445161285773886
root_relative_squared_error
0.6367787500870153
root_relative_squared_error
0.6036215193097065
root_relative_squared_error
0.5791932187343921
root_relative_squared_error
0.6467732952017569
root_relative_squared_error
0.5547697876889462
root_relative_squared_error
0.6342955708232368
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
656.2384600019868
usercpu_time_millis
473.31081699849165
usercpu_time_millis
485.26514299919654
usercpu_time_millis
446.21078400086844
usercpu_time_millis
452.46905599924503
usercpu_time_millis
512.5830680026411
usercpu_time_millis
461.47128399934445
usercpu_time_millis
494.3213560000004
usercpu_time_millis
445.5025379975268
usercpu_time_millis
452.24237499860465
usercpu_time_millis_testing
2.0490370006882586
usercpu_time_millis_testing
1.4011919993208721
usercpu_time_millis_testing
1.3368809995881747
usercpu_time_millis_testing
1.3256729998829542
usercpu_time_millis_testing
1.3263819982967107
usercpu_time_millis_testing
1.3326920015970245
usercpu_time_millis_testing
1.3274379998620134
usercpu_time_millis_testing
1.4846300000499468
usercpu_time_millis_testing
1.3373459987633396
usercpu_time_millis_testing
1.3706939989788225
usercpu_time_millis_training
654.1894230012986
usercpu_time_millis_training
471.9096249991708
usercpu_time_millis_training
483.92826199960837
usercpu_time_millis_training
444.8851110009855
usercpu_time_millis_training
451.1426740009483
usercpu_time_millis_training
511.25037600104406
usercpu_time_millis_training
460.14384599948244
usercpu_time_millis_training
492.83672599995043
usercpu_time_millis_training
444.1651919987635
usercpu_time_millis_training
450.8716809996258