10153325
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)
8078992
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"most_frequent"
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
8
8783
min_samples_split
17
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
9157
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
21227189
description
https://api.openml.org/data/download/21227189/description.xml
-1
21227190
predictions
https://api.openml.org/data/download/21227190/predictions.arff
area_under_roc_curve
0.9241854166666668 [0.993718,0.875801,0.971453,0.938269,0.914039,0.943679,0.815086,0.963294,0.975358,0.851156]
average_cost
0
f_measure
0.7607478635466024 [0.962406,0.688995,0.915167,0.783848,0.733333,0.838046,0.473171,0.837438,0.942356,0.432718]
kappa
0.7344444444444445
kb_relative_information_score
1532.8366005090907
mean_absolute_error
0.053087884615384884
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7618816954441446 [0.964824,0.66055,0.941799,0.746606,0.752632,0.862434,0.461905,0.825243,0.944724,0.458101]
predictive_accuracy
0.7609999999999999
prior_entropy
3.321928094887362
recall
0.761 [0.96,0.72,0.89,0.825,0.715,0.815,0.485,0.85,0.94,0.41]
relative_absolute_error
0.2949326923076847
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19303880891569422
root_relative_squared_error
0.6434626963856376
total_cost
0
area_under_roc_curve
0.9353472222222223 [0.999583,0.952083,0.995556,0.964583,0.931528,0.946111,0.798611,0.965139,0.998333,0.801944]
area_under_roc_curve
0.9072361111111111 [0.971667,0.919722,0.920139,0.909306,0.800556,0.899167,0.874167,0.990278,0.948611,0.83875]
area_under_roc_curve
0.9202777777777779 [0.999444,0.876806,0.947083,0.902917,0.982917,0.990417,0.720694,0.92125,1,0.86125]
area_under_roc_curve
0.9208611111111111 [0.996667,0.84875,0.973611,0.985139,0.94625,0.908333,0.7975,0.941667,0.949167,0.861528]
area_under_roc_curve
0.9256111111111112 [0.997222,0.843889,0.971667,0.94125,0.931944,0.945694,0.832639,0.928056,0.99625,0.8675]
area_under_roc_curve
0.9350277777777777 [1,0.926528,0.999028,0.911667,0.901111,0.937222,0.861667,0.986944,0.999028,0.827083]
area_under_roc_curve
0.9358472222222223 [0.999583,0.896806,0.947639,0.911389,0.956389,0.95875,0.880972,0.961111,0.975,0.870833]
area_under_roc_curve
0.9040972222222221 [0.974167,0.79875,0.996806,0.921111,0.847361,0.990417,0.758333,0.983472,0.920139,0.850417]
area_under_roc_curve
0.9398055555555556 [1,0.810694,0.999444,0.987778,0.93375,0.916111,0.85875,0.987083,0.999444,0.905]
area_under_roc_curve
0.9174722222222222 [1,0.883611,0.964444,0.944167,0.910972,0.945,0.765694,0.965972,0.969583,0.825278]
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
0.767927276340567 [0.930233,0.714286,0.894737,0.829268,0.780488,0.923077,0.47619,0.842105,0.9,0.388889]
f_measure
0.7246530891170074 [0.923077,0.681818,0.864865,0.790698,0.594595,0.702703,0.358974,0.871795,0.947368,0.510638]
f_measure
0.7443787196815049 [0.947368,0.681818,0.918919,0.736842,0.826087,0.857143,0.358974,0.833333,0.97561,0.307692]
f_measure
0.7928233822746701 [0.95,0.684211,0.95,0.851064,0.727273,0.777778,0.6,0.9,0.947368,0.540541]
f_measure
0.7558232399185321 [0.97561,0.604651,0.918919,0.777778,0.702703,0.871795,0.577778,0.744186,0.952381,0.432432]
f_measure
0.7462402075947252 [1,0.772727,0.926829,0.790698,0.647059,0.780488,0.461538,0.818182,0.952381,0.3125]
f_measure
0.7719352912730062 [0.974359,0.695652,0.857143,0.75,0.810811,0.809524,0.52381,0.837209,0.974359,0.486486]
f_measure
0.7231875651457004 [0.95,0.611111,0.930233,0.680851,0.611111,0.923077,0.388889,0.75,0.864865,0.521739]
f_measure
0.7770438153364982 [0.974359,0.619048,0.974359,0.8,0.820513,0.864865,0.5,0.878049,0.97561,0.363636]
f_measure
0.7874775279653328 [1,0.820513,0.904762,0.829268,0.769231,0.864865,0.454545,0.904762,0.926829,0.4]
kappa
0.7444444444444445
kappa
0.6888888888888889
kappa
0.7166666666666667
kappa
0.7722222222222223
kappa
0.7277777777777777
kappa
0.7333333333333334
kappa
0.7444444444444445
kappa
0.6944444444444444
kappa
0.7555555555555555
kappa
0.7666666666666667
kb_relative_information_score
155.12426302789584
kb_relative_information_score
144.89027784776795
kb_relative_information_score
151.09098685174587
kb_relative_information_score
156.36843740782774
kb_relative_information_score
153.7177792797014
kb_relative_information_score
152.802694847321
kb_relative_information_score
155.53034469353616
kb_relative_information_score
149.29034249838023
kb_relative_information_score
159.76242347625518
kb_relative_information_score
154.25905057868042
mean_absolute_error
0.051142976467976456
mean_absolute_error
0.05999085775335778
mean_absolute_error
0.054911366411366375
mean_absolute_error
0.049842446442446446
mean_absolute_error
0.05320492840492837
mean_absolute_error
0.053760545010545016
mean_absolute_error
0.05119672965922967
mean_absolute_error
0.05684299311799311
mean_absolute_error
0.048078679653679644
mean_absolute_error
0.051907323232323194
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
0.7695559179569478 [0.869565,0.681818,0.944444,0.809524,0.761905,0.947368,0.454545,0.888889,0.9,0.4375]
precision
0.7372042371487114 [0.947368,0.625,0.941176,0.73913,0.647059,0.764706,0.368421,0.894737,1,0.444444]
precision
0.7525820305425569 [1,0.625,1,0.777778,0.730769,0.818182,0.368421,0.9375,0.952381,0.315789]
precision
0.7992864923747277 [0.95,0.722222,0.95,0.740741,0.666667,0.875,0.6,0.9,1,0.588235]
precision
0.7647372386441574 [0.952381,0.565217,1,0.875,0.764706,0.894737,0.52,0.695652,0.909091,0.470588]
precision
0.7449286506780787 [1,0.708333,0.904762,0.73913,0.785714,0.761905,0.473684,0.75,0.909091,0.416667]
precision
0.7832485289646415 [1,0.615385,1,0.75,0.882353,0.772727,0.5,0.782609,1,0.529412]
precision
0.7324741163163224 [0.95,0.6875,0.869565,0.592593,0.6875,0.947368,0.4375,0.75,0.941176,0.461538]
precision
0.7823586429050825 [1,0.590909,1,0.72,0.842105,0.941176,0.458333,0.857143,0.952381,0.461538]
precision
0.7897647192848432 [1,0.842105,0.863636,0.809524,0.789474,0.941176,0.416667,0.863636,0.904762,0.466667]
predictive_accuracy
0.77
predictive_accuracy
0.72
predictive_accuracy
0.745
predictive_accuracy
0.795
predictive_accuracy
0.755
predictive_accuracy
0.76
predictive_accuracy
0.77
predictive_accuracy
0.725
predictive_accuracy
0.78
predictive_accuracy
0.79
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
0.77 [1,0.75,0.85,0.85,0.8,0.9,0.5,0.8,0.9,0.35]
recall
0.72 [0.9,0.75,0.8,0.85,0.55,0.65,0.35,0.85,0.9,0.6]
recall
0.745 [0.9,0.75,0.85,0.7,0.95,0.9,0.35,0.75,1,0.3]
recall
0.795 [0.95,0.65,0.95,1,0.8,0.7,0.6,0.9,0.9,0.5]
recall
0.755 [1,0.65,0.85,0.7,0.65,0.85,0.65,0.8,1,0.4]
recall
0.76 [1,0.85,0.95,0.85,0.55,0.8,0.45,0.9,1,0.25]
recall
0.77 [0.95,0.8,0.75,0.75,0.75,0.85,0.55,0.9,0.95,0.45]
recall
0.725 [0.95,0.55,1,0.8,0.55,0.9,0.35,0.75,0.8,0.6]
recall
0.78 [0.95,0.65,0.95,0.9,0.8,0.8,0.55,0.9,1,0.3]
recall
0.79 [1,0.8,0.95,0.85,0.75,0.8,0.5,0.95,0.95,0.35]
relative_absolute_error
0.284127647044314
relative_absolute_error
0.3332825430742103
relative_absolute_error
0.3050631467298135
relative_absolute_error
0.2769024802358139
relative_absolute_error
0.2955829355829357
relative_absolute_error
0.2986696945030282
relative_absolute_error
0.28442627588460956
relative_absolute_error
0.3157944062110732
relative_absolute_error
0.2671037758537761
relative_absolute_error
0.28837401795735146
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
0.18900134990641826
root_mean_squared_error
0.2116280010364839
root_mean_squared_error
0.1959380221056485
root_mean_squared_error
0.1873008443458284
root_mean_squared_error
0.19326628318817995
root_mean_squared_error
0.18995472954240575
root_mean_squared_error
0.18838443616818845
root_mean_squared_error
0.20442202562178727
root_mean_squared_error
0.1772685741204852
root_mean_squared_error
0.19110917919891965
root_relative_squared_error
0.6300044996880612
root_relative_squared_error
0.7054266701216134
root_relative_squared_error
0.653126740352162
root_relative_squared_error
0.6243361478194284
root_relative_squared_error
0.6442209439606001
root_relative_squared_error
0.6331824318080196
root_relative_squared_error
0.6279481205606285
root_relative_squared_error
0.6814067520726248
root_relative_squared_error
0.5908952470682843
root_relative_squared_error
0.6370305973297326
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
2915.2970389986876
usercpu_time_millis
2872.0737409967114
usercpu_time_millis
2745.5864229996223
usercpu_time_millis
2729.7089960011363
usercpu_time_millis
2711.5572419934324
usercpu_time_millis
2702.2144719994685
usercpu_time_millis
2719.1982199983613
usercpu_time_millis
2750.1154859965027
usercpu_time_millis
2737.858418000542
usercpu_time_millis
2712.431143001595
usercpu_time_millis_testing
1.7388889973517507
usercpu_time_millis_testing
1.9461689989839215
usercpu_time_millis_testing
1.7492340011813212
usercpu_time_millis_testing
1.71477500043693
usercpu_time_millis_testing
1.7579629966348875
usercpu_time_millis_testing
1.6774809992057271
usercpu_time_millis_testing
1.7575019992364105
usercpu_time_millis_testing
1.7887399990286212
usercpu_time_millis_testing
1.7647710010351148
usercpu_time_millis_testing
1.758780999807641
usercpu_time_millis_training
2913.558150001336
usercpu_time_millis_training
2870.1275719977275
usercpu_time_millis_training
2743.837188998441
usercpu_time_millis_training
2727.9942210006993
usercpu_time_millis_training
2709.7992789967975
usercpu_time_millis_training
2700.536991000263
usercpu_time_millis_training
2717.440717999125
usercpu_time_millis_training
2748.326745997474
usercpu_time_millis_training
2736.0936469995067
usercpu_time_millis_training
2710.6723620017874