10075859
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)
8000793
axis
0
8778
copy
true
8778
missing_values
"NaN"
8778
strategy
"mean"
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
18
8783
min_samples_split
14
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
64482
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
21072254
description
https://api.openml.org/data/download/21072254/description.xml
-1
21072255
predictions
https://api.openml.org/data/download/21072255/predictions.arff
area_under_roc_curve
0.9461863888888888 [0.993903,0.900633,0.970886,0.94519,0.931783,0.952653,0.902783,0.974076,0.979414,0.910542]
average_cost
0
f_measure
0.7443955285685002 [0.953317,0.638581,0.895833,0.74813,0.675258,0.810127,0.496241,0.844869,0.934673,0.446927]
kappa
0.7183333333333334
kb_relative_information_score
1505.974428109742
mean_absolute_error
0.060941723269864446
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7460705512065019 [0.937198,0.573705,0.934783,0.746269,0.696809,0.820513,0.497487,0.808219,0.939394,0.506329]
predictive_accuracy
0.7465
prior_entropy
3.321928094887362
recall
0.7465 [0.97,0.72,0.86,0.75,0.655,0.8,0.495,0.885,0.93,0.4]
relative_absolute_error
0.3385651292770142
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18918991520393932
root_relative_squared_error
0.630633050679788
total_cost
0
area_under_roc_curve
0.950388888888889 [0.999583,0.933472,0.964861,0.904028,0.949861,0.997778,0.890278,0.966111,0.9975,0.900417]
area_under_roc_curve
0.9209722222222222 [0.974306,0.913056,0.9375,0.928194,0.811528,0.872222,0.927917,0.988056,0.947778,0.909167]
area_under_roc_curve
0.9455277777777776 [0.998194,0.907917,0.943611,0.911944,0.969306,0.977222,0.893889,0.943611,0.998194,0.911389]
area_under_roc_curve
0.9438472222222223 [0.997778,0.87375,0.971667,0.960417,0.955556,0.930833,0.923056,0.966528,0.973611,0.885278]
area_under_roc_curve
0.9458888888888888 [1,0.876528,0.964306,0.951806,0.966806,0.960833,0.921944,0.957361,0.996111,0.863194]
area_under_roc_curve
0.9567499999999999 [1,0.927778,0.999028,0.977361,0.935278,0.940139,0.894444,0.984028,0.99875,0.910694]
area_under_roc_curve
0.9539305555555555 [0.999722,0.89375,0.97,0.956944,0.953611,0.955972,0.960833,0.961944,0.974444,0.912083]
area_under_roc_curve
0.9494027777777777 [0.973472,0.854861,0.999444,0.946944,0.939167,0.988611,0.9075,0.992361,0.942222,0.949444]
area_under_roc_curve
0.9679722222222223 [0.999583,0.901944,0.998194,0.989722,0.950833,0.970556,0.922222,0.995694,1,0.950972]
area_under_roc_curve
0.9310694444444446 [0.997222,0.911944,0.965833,0.937222,0.886667,0.939583,0.798194,0.991389,0.968889,0.91375]
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
0.7461056755732267 [0.97561,0.64,0.842105,0.8,0.73913,0.923077,0.465116,0.8,0.923077,0.352941]
f_measure
0.7217268389637558 [0.95,0.681818,0.833333,0.761905,0.594595,0.684211,0.439024,0.837209,0.947368,0.487805]
f_measure
0.6895847238800918 [0.95,0.595745,0.918919,0.466667,0.73913,0.755556,0.390244,0.871795,0.904762,0.30303]
f_measure
0.7219420406915127 [0.904762,0.585366,0.923077,0.76,0.55,0.736842,0.615385,0.809524,0.947368,0.387097]
f_measure
0.7309691933405023 [0.97561,0.590909,0.888889,0.744186,0.684211,0.789474,0.457143,0.782609,0.97561,0.421053]
f_measure
0.7674703029285442 [0.97561,0.666667,0.947368,0.769231,0.628571,0.837209,0.529412,0.844444,0.904762,0.571429]
f_measure
0.7848221433587287 [0.974359,0.666667,0.923077,0.769231,0.731707,0.772727,0.648649,0.863636,0.974359,0.52381]
f_measure
0.7478328527487359 [0.95,0.638298,0.9,0.7,0.727273,0.871795,0.488889,0.837209,0.864865,0.5]
f_measure
0.7861154262950296 [0.95,0.627451,0.894737,0.837209,0.717949,0.857143,0.512821,0.9,0.97561,0.588235]
f_measure
0.7376730666484095 [0.930233,0.697674,0.883721,0.8,0.606061,0.888889,0.444444,0.904762,0.926829,0.294118]
kappa
0.7166666666666667
kappa
0.6888888888888889
kappa
0.6666666666666666
kappa
0.7
kappa
0.7055555555555556
kappa
0.75
kappa
0.7611111111111112
kappa
0.7166666666666667
kappa
0.7611111111111112
kappa
0.7166666666666667
kb_relative_information_score
150.79637526979525
kb_relative_information_score
145.3048148317497
kb_relative_information_score
143.447833678979
kb_relative_information_score
147.62511177292822
kb_relative_information_score
148.9543008457823
kb_relative_information_score
153.2779809070372
kb_relative_information_score
157.0848487494157
kb_relative_information_score
150.79702009612728
kb_relative_information_score
159.53149329013527
kb_relative_information_score
149.15464866780442
mean_absolute_error
0.06160489751280008
mean_absolute_error
0.06573241821203475
mean_absolute_error
0.06759388643201253
mean_absolute_error
0.06152449373306724
mean_absolute_error
0.06259965500449369
mean_absolute_error
0.057363003119082955
mean_absolute_error
0.05458017723889306
mean_absolute_error
0.06144779426045004
mean_absolute_error
0.0537940955384758
mean_absolute_error
0.0631768116473339
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
0.7653206874488341 [0.952381,0.533333,0.888889,0.933333,0.653846,0.947368,0.434783,0.933333,0.947368,0.428571]
precision
0.7296424373438439 [0.95,0.625,0.9375,0.727273,0.647059,0.722222,0.428571,0.782609,1,0.47619]
precision
0.7026305643674065 [0.95,0.518519,1,0.7,0.653846,0.68,0.380952,0.894737,0.863636,0.384615]
precision
0.7293305232778916 [0.863636,0.571429,0.947368,0.633333,0.55,0.777778,0.631579,0.772727,1,0.545455]
precision
0.736772177098264 [0.952381,0.541667,1,0.695652,0.722222,0.833333,0.533333,0.692308,0.952381,0.444444]
precision
0.7762385410165732 [0.952381,0.571429,1,0.789474,0.733333,0.782609,0.642857,0.76,0.863636,0.666667]
precision
0.790701017249005 [1,0.75,0.947368,0.789474,0.714286,0.708333,0.705882,0.791667,1,0.5]
precision
0.7649654486978151 [0.95,0.555556,0.9,0.7,0.923077,0.894737,0.44,0.782609,0.941176,0.5625]
precision
0.8023006733758191 [0.95,0.516129,0.944444,0.782609,0.736842,1,0.526316,0.9,0.952381,0.714286]
precision
0.7442597981728417 [0.869565,0.652174,0.826087,0.8,0.769231,1,0.4,0.863636,0.904762,0.357143]
predictive_accuracy
0.745
predictive_accuracy
0.72
predictive_accuracy
0.7
predictive_accuracy
0.73
predictive_accuracy
0.735
predictive_accuracy
0.775
predictive_accuracy
0.785
predictive_accuracy
0.745
predictive_accuracy
0.785
predictive_accuracy
0.745
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
0.745 [1,0.8,0.8,0.7,0.85,0.9,0.5,0.7,0.9,0.3]
recall
0.72 [0.95,0.75,0.75,0.8,0.55,0.65,0.45,0.9,0.9,0.5]
recall
0.7 [0.95,0.7,0.85,0.35,0.85,0.85,0.4,0.85,0.95,0.25]
recall
0.73 [0.95,0.6,0.9,0.95,0.55,0.7,0.6,0.85,0.9,0.3]
recall
0.735 [1,0.65,0.8,0.8,0.65,0.75,0.4,0.9,1,0.4]
recall
0.775 [1,0.8,0.9,0.75,0.55,0.9,0.45,0.95,0.95,0.5]
recall
0.785 [0.95,0.6,0.9,0.75,0.75,0.85,0.6,0.95,0.95,0.55]
recall
0.745 [0.95,0.75,0.9,0.7,0.6,0.85,0.55,0.9,0.8,0.45]
recall
0.785 [0.95,0.8,0.85,0.9,0.7,0.75,0.5,0.9,1,0.5]
recall
0.745 [1,0.75,0.95,0.8,0.5,0.8,0.5,0.95,0.95,0.25]
relative_absolute_error
0.3422494306266675
relative_absolute_error
0.36518010117797123
relative_absolute_error
0.3755215912889589
relative_absolute_error
0.34180274296148505
relative_absolute_error
0.3477758611360764
relative_absolute_error
0.31868335066157233
relative_absolute_error
0.30322320688273957
relative_absolute_error
0.3413766347802783
relative_absolute_error
0.29885608632486593
relative_absolute_error
0.3509822869296331
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
0.19165415596256813
root_mean_squared_error
0.20351821630504083
root_mean_squared_error
0.20208702497702158
root_mean_squared_error
0.19247728212420018
root_mean_squared_error
0.19260066700445583
root_mean_squared_error
0.18048813031862002
root_mean_squared_error
0.17575509989104315
root_mean_squared_error
0.18790559102559726
root_mean_squared_error
0.16825373544511132
root_mean_squared_error
0.19419557822192932
root_relative_squared_error
0.6388471865418942
root_relative_squared_error
0.6783940543501364
root_relative_squared_error
0.6736234165900724
root_relative_squared_error
0.641590940414001
root_relative_squared_error
0.6420022233481865
root_relative_squared_error
0.6016271010620671
root_relative_squared_error
0.5858503329701442
root_relative_squared_error
0.6263519700853246
root_relative_squared_error
0.5608457848170382
root_relative_squared_error
0.6473185940730981
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
628.1641579998904
usercpu_time_millis
505.90030100011063
usercpu_time_millis
427.6136050000332
usercpu_time_millis
426.65345399973376
usercpu_time_millis
428.1408509998528
usercpu_time_millis
422.0565150001221
usercpu_time_millis
438.6805749998075
usercpu_time_millis
448.4552609999355
usercpu_time_millis
422.53314300000966
usercpu_time_millis
430.6742750000012
usercpu_time_millis_testing
1.8005980000452837
usercpu_time_millis_testing
1.3047229999756382
usercpu_time_millis_testing
1.2954520000221237
usercpu_time_millis_testing
1.2975499998901796
usercpu_time_millis_testing
1.2969459999112587
usercpu_time_millis_testing
1.2909480001326301
usercpu_time_millis_testing
1.300013999980365
usercpu_time_millis_testing
1.2969179999799962
usercpu_time_millis_testing
1.2914930000533786
usercpu_time_millis_testing
1.3152710000667867
usercpu_time_millis_training
626.3635599998452
usercpu_time_millis_training
504.595578000135
usercpu_time_millis_training
426.3181530000111
usercpu_time_millis_training
425.3559039998436
usercpu_time_millis_training
426.8439049999415
usercpu_time_millis_training
420.76556699998946
usercpu_time_millis_training
437.38056099982714
usercpu_time_millis_training
447.1583429999555
usercpu_time_millis_training
421.2416499999563
usercpu_time_millis_training
429.35900399993443