10464977
12974
Sean Broestl
14
Supervised Classification
18594
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1)
8275584
add_indicator
false
18585
copy
true
18585
fill_value
null
18585
missing_values
NaN
18585
strategy
"mean"
18585
verbose
0
18585
ccp_alpha
0.0
18586
class_weight
null
18586
criterion
"gini"
18586
max_depth
null
18586
max_features
null
18586
max_leaf_nodes
null
18586
min_impurity_decrease
0.0
18586
min_impurity_split
null
18586
min_samples_leaf
1
18586
min_samples_split
2
18586
min_weight_fraction_leaf
0.0
18586
presort
"deprecated"
18586
random_state
14292
18586
splitter
"best"
18586
memory
null
18594
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
18594
verbose
false
18594
openml-python
Sklearn_0.23.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21854882
description
https://api.openml.org/data/download/21854882/description.xml
-1
21854883
predictions
https://api.openml.org/data/download/21854883/predictions.arff
area_under_roc_curve
0.8608333333333333 [0.991111,0.805556,0.916389,0.872222,0.821389,0.893889,0.730278,0.881667,0.959444,0.736389]
average_cost
0
f_measure
0.7497134584406723 [0.9801,0.661538,0.84788,0.784615,0.674938,0.821429,0.513716,0.778325,0.916256,0.518337]
kappa
0.7216666666666668
kb_relative_information_score
0.738037748614562
mean_absolute_error
0.05010000000000044
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.7495 [0.985,0.645,0.85,0.765,0.68,0.805,0.515,0.79,0.93,0.53]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.750323935798925 [0.975248,0.678947,0.845771,0.805263,0.669951,0.838542,0.512438,0.76699,0.902913,0.507177]
predictive_accuracy
0.7495
prior_entropy
3.3219280948872383
relative_absolute_error
0.2783333333333272
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2238302928559949
root_relative_squared_error
0.7461009761866383
total_cost
0
unweighted_recall
0.7495 [0.985,0.645,0.85,0.765,0.68,0.805,0.515,0.79,0.93,0.53]
area_under_roc_curve
0.8666666666666667 [1,0.880556,0.902778,0.891667,0.788889,0.947222,0.725,0.763889,0.969444,0.797222]
area_under_roc_curve
0.8638888888888888 [0.972222,0.858333,0.866667,0.872222,0.780556,0.858333,0.747222,0.938889,0.95,0.794444]
area_under_roc_curve
0.85 [1,0.833333,0.919444,0.816667,0.877778,0.894444,0.658333,0.869444,0.969444,0.661111]
area_under_roc_curve
0.8694444444444446 [1,0.788889,0.916667,0.938889,0.866667,0.919444,0.725,0.866667,0.95,0.722222]
area_under_roc_curve
0.8333333333333333 [0.997222,0.730556,0.919444,0.830556,0.755556,0.805556,0.775,0.825,0.966667,0.727778]
area_under_roc_curve
0.8833333333333333 [0.972222,0.911111,0.972222,0.841667,0.85,0.894444,0.825,0.861111,0.991667,0.713889]
area_under_roc_curve
0.8611111111111112 [1,0.777778,0.869444,0.916667,0.811111,0.886111,0.722222,0.958333,0.997222,0.672222]
area_under_roc_curve
0.8444444444444444 [0.972222,0.766667,0.891667,0.808333,0.777778,0.941667,0.777778,0.869444,0.869444,0.769444]
area_under_roc_curve
0.8805555555555554 [1,0.719444,0.966667,0.961111,0.863889,0.869444,0.686111,0.933333,0.991667,0.813889]
area_under_roc_curve
0.8555555555555556 [0.997222,0.788889,0.938889,0.844444,0.841667,0.922222,0.661111,0.930556,0.938889,0.691667]
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
0.7582870384798917 [1,0.744186,0.755556,0.820513,0.666667,0.923077,0.512821,0.628571,0.926829,0.604651]
f_measure
0.7583612002033054 [0.95,0.731707,0.789474,0.833333,0.615385,0.731707,0.536585,0.857143,0.947368,0.590909]
f_measure
0.7354080567759405 [1,0.7,0.871795,0.722222,0.727273,0.842105,0.372093,0.810811,0.926829,0.380952]
f_measure
0.7661933680354734 [1,0.666667,0.85,0.857143,0.666667,0.871795,0.512821,0.789474,0.947368,0.5]
f_measure
0.6967425704714116 [0.97561,0.540541,0.871795,0.682927,0.578947,0.65,0.585366,0.651163,0.904762,0.526316]
f_measure
0.7867053905548397 [0.95,0.809524,0.95,0.756757,0.681818,0.842105,0.651163,0.75,0.930233,0.545455]
f_measure
0.7466615974125602 [1,0.6,0.810811,0.85,0.684211,0.780488,0.5,0.844444,0.97561,0.421053]
f_measure
0.7240443969627179 [0.95,0.545455,0.820513,0.666667,0.6,0.878049,0.6,0.810811,0.810811,0.55814]
f_measure
0.7758092551751072 [1,0.580645,0.904762,0.863636,0.769231,0.810811,0.484848,0.818182,0.930233,0.595745]
f_measure
0.7405810284886023 [0.97561,0.666667,0.857143,0.777778,0.756757,0.894737,0.380952,0.8,0.857143,0.439024]
kappa
0.7333333333333334
kappa
0.7277777777777777
kappa
0.7
kappa
0.7388888888888889
kappa
0.6666666666666666
kappa
0.7666666666666667
kappa
0.7222222222222222
kappa
0.6888888888888889
kappa
0.7611111111111112
kappa
0.7111111111111111
kb_relative_information_score
0.7490182022654411
kb_relative_information_score
0.7437894148126376
kb_relative_information_score
0.7176454775486207
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.6862727528318004
kb_relative_information_score
0.7803909269822613
kb_relative_information_score
0.7385606273598343
kb_relative_information_score
0.707187902643014
kb_relative_information_score
0.775162139529458
kb_relative_information_score
0.7281030524542276
mean_absolute_error
0.04799999999999999
mean_absolute_error
0.04899999999999999
mean_absolute_error
0.053999999999999965
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.05999999999999995
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.04999999999999998
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.04300000000000001
mean_absolute_error
0.05199999999999998
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
0.7644754276996841 [1,0.695652,0.68,0.842105,0.75,0.947368,0.526316,0.733333,0.904762,0.565217]
precision
0.7664641717931192 [0.95,0.714286,0.833333,0.9375,0.631579,0.714286,0.52381,0.818182,1,0.541667]
precision
0.746136969419208 [1,0.7,0.894737,0.8125,0.666667,0.888889,0.347826,0.882353,0.904762,0.363636]
precision
0.7743996354522671 [1,0.75,0.85,0.818182,0.571429,0.894737,0.526316,0.833333,1,0.5]
precision
0.6962447009176045 [0.952381,0.588235,0.894737,0.666667,0.611111,0.65,0.571429,0.608696,0.863636,0.555556]
precision
0.7930714135253777 [0.95,0.772727,0.95,0.823529,0.625,0.888889,0.608696,0.75,0.869565,0.692308]
precision
0.7473305322128851 [1,0.6,0.882353,0.85,0.722222,0.761905,0.5,0.76,0.952381,0.444444]
precision
0.7319903659404265 [0.95,0.5,0.842105,0.684211,0.6,0.857143,0.6,0.882353,0.882353,0.521739]
precision
0.7898779825166286 [1,0.818182,0.863636,0.791667,0.789474,0.882353,0.615385,0.75,0.869565,0.518519]
precision
0.7493926237161532 [0.952381,0.75,0.818182,0.875,0.823529,0.944444,0.363636,0.72,0.818182,0.428571]
predictive_accuracy
0.76
predictive_accuracy
0.755
predictive_accuracy
0.73
predictive_accuracy
0.765
predictive_accuracy
0.7
predictive_accuracy
0.79
predictive_accuracy
0.75
predictive_accuracy
0.72
predictive_accuracy
0.785
predictive_accuracy
0.74
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
relative_absolute_error
0.2666666666666669
relative_absolute_error
0.2722222222222225
relative_absolute_error
0.30000000000000016
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.3333333333333334
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.277777777777778
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.2388888888888892
relative_absolute_error
0.2888888888888891
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
0.21908902300206642
root_mean_squared_error
0.22135943621178653
root_mean_squared_error
0.23237900077244494
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.24494897427831772
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.22360679774997894
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.20736441353327723
root_mean_squared_error
0.22803508501982755
root_relative_squared_error
0.7302967433402218
root_relative_squared_error
0.7378647873726222
root_relative_squared_error
0.7745966692414835
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.8164965809277261
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.7453559924999302
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.6912147117775912
root_relative_squared_error
0.7601169500660923
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
unweighted_recall
0.76 [1,0.8,0.85,0.8,0.6,0.9,0.5,0.55,0.95,0.65]
unweighted_recall
0.7550000000000001 [0.95,0.75,0.75,0.75,0.6,0.75,0.55,0.9,0.9,0.65]
unweighted_recall
0.7300000000000001 [1,0.7,0.85,0.65,0.8,0.8,0.4,0.75,0.95,0.4]
unweighted_recall
0.765 [1,0.6,0.85,0.9,0.8,0.85,0.5,0.75,0.9,0.5]
unweighted_recall
0.7 [1,0.5,0.85,0.7,0.55,0.65,0.6,0.7,0.95,0.5]
unweighted_recall
0.79 [0.95,0.85,0.95,0.7,0.75,0.8,0.7,0.75,1,0.45]
unweighted_recall
0.7500000000000001 [1,0.6,0.75,0.85,0.65,0.8,0.5,0.95,1,0.4]
unweighted_recall
0.72 [0.95,0.6,0.8,0.65,0.6,0.9,0.6,0.75,0.75,0.6]
unweighted_recall
0.785 [1,0.45,0.95,0.95,0.75,0.75,0.4,0.9,1,0.7]
unweighted_recall
0.7400000000000001 [1,0.6,0.9,0.7,0.7,0.85,0.4,0.9,0.9,0.45]
usercpu_time_millis
153.06700000000006
usercpu_time_millis
169.64699999999942
usercpu_time_millis
143.21500000000142
usercpu_time_millis
140.6300000000016
usercpu_time_millis
134.1689999999982
usercpu_time_millis
134.42099999999965
usercpu_time_millis
146.81600000000117
usercpu_time_millis
131.15799999999922
usercpu_time_millis
138.0090000000003
usercpu_time_millis
139.7790000000008
usercpu_time_millis_testing
0.5269999999999442
usercpu_time_millis_testing
0.5910000000000082
usercpu_time_millis_testing
0.7030000000014525
usercpu_time_millis_testing
0.5330000000007828
usercpu_time_millis_testing
0.5389999999998452
usercpu_time_millis_testing
0.5299999999994753
usercpu_time_millis_testing
0.5389999999998452
usercpu_time_millis_testing
0.5119999999987357
usercpu_time_millis_testing
0.5280000000009721
usercpu_time_millis_testing
0.5420000000011527
usercpu_time_millis_training
152.54000000000013
usercpu_time_millis_training
169.05599999999941
usercpu_time_millis_training
142.51199999999997
usercpu_time_millis_training
140.0970000000008
usercpu_time_millis_training
133.62999999999835
usercpu_time_millis_training
133.8910000000002
usercpu_time_millis_training
146.27700000000132
usercpu_time_millis_training
130.64600000000047
usercpu_time_millis_training
137.4809999999993
usercpu_time_millis_training
139.23699999999963
wall_clock_time_millis
153.75614166259766
wall_clock_time_millis
171.76580429077148
wall_clock_time_millis
143.9509391784668
wall_clock_time_millis
140.8827304840088
wall_clock_time_millis
134.33480262756348
wall_clock_time_millis
135.0688934326172
wall_clock_time_millis
147.5226879119873
wall_clock_time_millis
131.38914108276367
wall_clock_time_millis
138.14020156860352
wall_clock_time_millis
139.95099067687988
wall_clock_time_millis_testing
0.5309581756591797
wall_clock_time_millis_testing
0.5948543548583984
wall_clock_time_millis_testing
0.7250308990478516
wall_clock_time_millis_testing
0.5359649658203125
wall_clock_time_millis_testing
0.5459785461425781
wall_clock_time_millis_testing
0.5319118499755859
wall_clock_time_millis_testing
0.5409717559814453
wall_clock_time_millis_testing
0.5140304565429688
wall_clock_time_millis_testing
0.530242919921875
wall_clock_time_millis_testing
0.5440711975097656
wall_clock_time_millis_training
153.22518348693848
wall_clock_time_millis_training
171.1709499359131
wall_clock_time_millis_training
143.22590827941895
wall_clock_time_millis_training
140.34676551818848
wall_clock_time_millis_training
133.7888240814209
wall_clock_time_millis_training
134.5369815826416
wall_clock_time_millis_training
146.98171615600586
wall_clock_time_millis_training
130.8751106262207
wall_clock_time_millis_training
137.60995864868164
wall_clock_time_millis_training
139.40691947937012
weighted_recall
0.76 [1,0.8,0.85,0.8,0.6,0.9,0.5,0.55,0.95,0.65]
weighted_recall
0.755 [0.95,0.75,0.75,0.75,0.6,0.75,0.55,0.9,0.9,0.65]
weighted_recall
0.73 [1,0.7,0.85,0.65,0.8,0.8,0.4,0.75,0.95,0.4]
weighted_recall
0.765 [1,0.6,0.85,0.9,0.8,0.85,0.5,0.75,0.9,0.5]
weighted_recall
0.7 [1,0.5,0.85,0.7,0.55,0.65,0.6,0.7,0.95,0.5]
weighted_recall
0.79 [0.95,0.85,0.95,0.7,0.75,0.8,0.7,0.75,1,0.45]
weighted_recall
0.75 [1,0.6,0.75,0.85,0.65,0.8,0.5,0.95,1,0.4]
weighted_recall
0.72 [0.95,0.6,0.8,0.65,0.6,0.9,0.6,0.75,0.75,0.6]
weighted_recall
0.785 [1,0.45,0.95,0.95,0.75,0.75,0.4,0.9,1,0.7]
weighted_recall
0.74 [1,0.6,0.9,0.7,0.7,0.85,0.4,0.9,0.9,0.45]