10070653
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)
7995541
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
"gini"
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
3
8783
min_samples_split
17
8783
min_weight_fraction_leaf
0.0
8783
presort
false
8783
random_state
19180
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
21061842
description
https://api.openml.org/data/download/21061842/description.xml
-1
21061843
predictions
https://api.openml.org/data/download/21061843/predictions.arff
area_under_roc_curve
0.9110915277777777 [0.994619,0.870797,0.944701,0.925511,0.875961,0.938142,0.807151,0.95645,0.980297,0.817285]
average_cost
0
f_measure
0.7565897070848654 [0.975369,0.693976,0.894057,0.80798,0.654822,0.817955,0.508235,0.793103,0.942708,0.47769]
kappa
0.7283333333333333
kb_relative_information_score
1513.0225341444939
mean_absolute_error
0.05391631521256546
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7590916662287047 [0.961165,0.669767,0.925134,0.80597,0.664948,0.81592,0.48,0.781553,0.983696,0.502762]
predictive_accuracy
0.7555
prior_entropy
3.321928094887362
recall
0.7555 [0.99,0.72,0.865,0.81,0.645,0.82,0.54,0.805,0.905,0.455]
relative_absolute_error
0.2995350845142433
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19912769790369972
root_relative_squared_error
0.6637589930123222
total_cost
0
area_under_roc_curve
0.9309305555555557 [1,0.929583,0.940556,0.944583,0.905972,0.997639,0.82625,0.962361,0.974028,0.828333]
area_under_roc_curve
0.9023333333333333 [0.974722,0.869028,0.894861,0.917222,0.841528,0.900417,0.825139,0.969167,0.973056,0.858194]
area_under_roc_curve
0.8829305555555556 [1,0.853889,0.92125,0.877361,0.893194,0.862778,0.690278,0.915,1,0.815556]
area_under_roc_curve
0.925888888888889 [1,0.805972,0.973333,0.993889,0.904028,0.99625,0.838611,0.889028,0.974583,0.883194]
area_under_roc_curve
0.916125 [0.999722,0.841528,0.945139,0.938056,0.922778,0.912917,0.880417,0.948333,0.97125,0.801111]
area_under_roc_curve
0.9298472222222223 [1,0.938889,0.99625,0.929861,0.892639,0.964444,0.832083,0.9625,0.999861,0.781944]
area_under_roc_curve
0.903625 [1,0.86625,0.874306,0.93875,0.846806,0.936944,0.806944,0.990278,0.99875,0.777222]
area_under_roc_curve
0.9061944444444446 [0.974583,0.887361,0.9425,0.883889,0.816111,0.967083,0.874306,0.963056,0.968889,0.784167]
area_under_roc_curve
0.9087777777777779 [1,0.835139,0.995972,0.972083,0.8625,0.9175,0.717361,0.982778,1,0.804444]
area_under_roc_curve
0.9060277777777777 [0.997222,0.877222,0.969167,0.86375,0.874028,0.923333,0.784861,0.985972,0.94125,0.843472]
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
0.769534093036401 [0.97561,0.765957,0.85,0.85,0.717949,0.923077,0.47619,0.756757,0.947368,0.432432]
f_measure
0.716015782758846 [0.926829,0.65,0.864865,0.789474,0.564103,0.6,0.465116,0.826087,0.947368,0.526316]
f_measure
0.724784675159037 [1,0.697674,0.918919,0.717949,0.744186,0.756757,0.355556,0.722222,0.97561,0.358974]
f_measure
0.8015266104066593 [1,0.65,0.923077,0.837209,0.711111,0.947368,0.615385,0.756757,0.974359,0.6]
f_measure
0.7433292250622162 [0.97561,0.628571,0.918919,0.857143,0.65,0.7,0.52381,0.755556,0.95,0.473684]
f_measure
0.7838507312735026 [0.97561,0.829268,0.95,0.761905,0.684211,0.878049,0.625,0.8,0.947368,0.387097]
f_measure
0.75470736477839 [0.97561,0.608696,0.857143,0.769231,0.628571,0.857143,0.55814,0.818182,0.974359,0.5]
f_measure
0.7130893096009374 [0.974359,0.666667,0.864865,0.761905,0.540541,0.837209,0.5,0.666667,0.857143,0.461538]
f_measure
0.7908309589856607 [1,0.777778,0.95,0.923077,0.594595,0.790698,0.457143,0.869565,1,0.545455]
f_measure
0.7551600245310128 [0.952381,0.666667,0.844444,0.810811,0.682927,0.894737,0.5,0.904762,0.833333,0.461538]
kappa
0.7444444444444445
kappa
0.6833333333333333
kappa
0.6888888888888889
kappa
0.7777777777777778
kappa
0.7166666666666667
kappa
0.7666666666666667
kappa
0.7277777777777777
kappa
0.6777777777777777
kappa
0.7722222222222223
kappa
0.7277777777777777
kb_relative_information_score
156.14779919761503
kb_relative_information_score
148.13863616377614
kb_relative_information_score
145.3887241634207
kb_relative_information_score
156.9866124766578
kb_relative_information_score
149.12029563910238
kb_relative_information_score
157.51621042784228
kb_relative_information_score
150.16152032991863
kb_relative_information_score
145.25474457896917
kb_relative_information_score
155.17932989616952
kb_relative_information_score
149.12866127104743
mean_absolute_error
0.04899570845820846
mean_absolute_error
0.05678688672438669
mean_absolute_error
0.058712731712731676
mean_absolute_error
0.049272256909756916
mean_absolute_error
0.05670585664335662
mean_absolute_error
0.04969996669996668
mean_absolute_error
0.05270275002775
mean_absolute_error
0.06061177988677989
mean_absolute_error
0.04975817099567098
mean_absolute_error
0.055917044067044064
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
0.7751921246967686 [0.952381,0.666667,0.85,0.85,0.736842,0.947368,0.454545,0.823529,1,0.470588]
precision
0.7229326472124966 [0.904762,0.65,0.941176,0.833333,0.578947,0.6,0.434783,0.730769,1,0.555556]
precision
0.7361499608996916 [1,0.652174,1,0.736842,0.695652,0.823529,0.32,0.8125,0.952381,0.368421]
precision
0.8075085475837932 [1,0.65,0.947368,0.782609,0.64,1,0.631579,0.823529,1,0.6]
precision
0.7483896103896105 [0.952381,0.733333,1,0.818182,0.65,0.7,0.5,0.68,0.95,0.5]
precision
0.78997113997114 [0.952381,0.809524,0.95,0.727273,0.722222,0.857143,0.535714,0.8,1,0.545455]
precision
0.7666070457002951 [0.952381,0.538462,1,0.789474,0.733333,0.818182,0.521739,0.75,1,0.5625]
precision
0.7365851674418473 [1,0.548387,0.941176,0.727273,0.588235,0.782609,0.458333,0.846154,1,0.473684]
precision
0.7961121781928755 [1,0.875,0.95,0.947368,0.647059,0.73913,0.533333,0.769231,1,0.5]
precision
0.7645708868874505 [0.909091,0.75,0.76,0.882353,0.666667,0.944444,0.458333,0.863636,0.9375,0.473684]
predictive_accuracy
0.77
predictive_accuracy
0.715
predictive_accuracy
0.72
predictive_accuracy
0.8
predictive_accuracy
0.745
predictive_accuracy
0.79
predictive_accuracy
0.755
predictive_accuracy
0.71
predictive_accuracy
0.795
predictive_accuracy
0.755
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 [1,0.9,0.85,0.85,0.7,0.9,0.5,0.7,0.9,0.4]
recall
0.715 [0.95,0.65,0.8,0.75,0.55,0.6,0.5,0.95,0.9,0.5]
recall
0.72 [1,0.75,0.85,0.7,0.8,0.7,0.4,0.65,1,0.35]
recall
0.8 [1,0.65,0.9,0.9,0.8,0.9,0.6,0.7,0.95,0.6]
recall
0.745 [1,0.55,0.85,0.9,0.65,0.7,0.55,0.85,0.95,0.45]
recall
0.79 [1,0.85,0.95,0.8,0.65,0.9,0.75,0.8,0.9,0.3]
recall
0.755 [1,0.7,0.75,0.75,0.55,0.9,0.6,0.9,0.95,0.45]
recall
0.71 [0.95,0.85,0.8,0.8,0.5,0.9,0.55,0.55,0.75,0.45]
recall
0.795 [1,0.7,0.95,0.9,0.55,0.85,0.4,1,1,0.6]
recall
0.755 [1,0.6,0.95,0.75,0.7,0.85,0.55,0.95,0.75,0.45]
relative_absolute_error
0.2721983803233806
relative_absolute_error
0.31548270402437084
relative_absolute_error
0.3261818428485097
relative_absolute_error
0.27373476060976093
relative_absolute_error
0.31503253690753713
relative_absolute_error
0.2761109261109263
relative_absolute_error
0.2927930557097226
relative_absolute_error
0.3367321104821109
relative_absolute_error
0.2764342833092835
relative_absolute_error
0.3106502448169118
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
0.18866259584296569
root_mean_squared_error
0.20661706429287932
root_mean_squared_error
0.21409198603829424
root_mean_squared_error
0.18680945813920508
root_mean_squared_error
0.2036780660088073
root_mean_squared_error
0.18437819434171848
root_mean_squared_error
0.20045254518524477
root_mean_squared_error
0.21137645149959525
root_mean_squared_error
0.1907031800292673
root_mean_squared_error
0.20197044126824992
root_relative_squared_error
0.6288753194765526
root_relative_squared_error
0.6887235476429315
root_relative_squared_error
0.7136399534609812
root_relative_squared_error
0.6226981937973507
root_relative_squared_error
0.6789268866960247
root_relative_squared_error
0.614593981139062
root_relative_squared_error
0.668175150617483
root_relative_squared_error
0.7045881716653178
root_relative_squared_error
0.6356772667642246
root_relative_squared_error
0.6732348042275
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
186.9278359999953
usercpu_time_millis
176.02978599984453
usercpu_time_millis
174.7173369999473
usercpu_time_millis
170.5332010001257
usercpu_time_millis
142.07416900012504
usercpu_time_millis
142.2522000002573
usercpu_time_millis
145.05983399999423
usercpu_time_millis
145.04695799996625
usercpu_time_millis
144.46307200000774
usercpu_time_millis
141.53374100010296
usercpu_time_millis_testing
1.8167499999890424
usercpu_time_millis_testing
1.8206229999577772
usercpu_time_millis_testing
1.8403599999601283
usercpu_time_millis_testing
1.5107270000953577
usercpu_time_millis_testing
1.4638200000263168
usercpu_time_millis_testing
1.6210820001560933
usercpu_time_millis_testing
1.544601999967199
usercpu_time_millis_testing
1.4556249998349813
usercpu_time_millis_testing
1.4759969999431632
usercpu_time_millis_testing
1.5557389999685256
usercpu_time_millis_training
185.11108600000625
usercpu_time_millis_training
174.20916299988676
usercpu_time_millis_training
172.87697699998716
usercpu_time_millis_training
169.02247400003034
usercpu_time_millis_training
140.61034900009872
usercpu_time_millis_training
140.6311180001012
usercpu_time_millis_training
143.51523200002703
usercpu_time_millis_training
143.59133300013127
usercpu_time_millis_training
142.98707500006458
usercpu_time_millis_training
139.97800200013444