10437828
11497
Fares Gaaloul
2073
Supervised Classification
predictive_accuracy
17593
sklearn.pipeline.Pipeline(Imputer=sklearn.impute.SimpleImputer,fs=sklearn.feature_selection.univariate_selection.SelectPercentile,rf=sklearn.ensemble.forest.RandomForestClassifier)(2)
8260898
copy
true
17467
fill_value
null
17467
missing_values
NaN
17467
strategy
"constant"
17467
verbose
0
17467
bootstrap
true
17478
class_weight
null
17478
criterion
"gini"
17478
max_depth
null
17478
max_features
"auto"
17478
max_leaf_nodes
null
17478
min_impurity_decrease
0.0
17478
min_impurity_split
null
17478
min_samples_leaf
1
17478
min_samples_split
2
17478
min_weight_fraction_leaf
0.0
17478
n_estimators
100
17478
n_jobs
null
17478
oob_score
false
17478
random_state
31461
17478
verbose
0
17478
warm_start
false
17478
memory
null
17593
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fs", "step_name": "fs"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}]
17593
percentile
80
17594
score_func
{"oml-python:serialized_object": "function", "value": "sklearn.feature_selection.univariate_selection.f_classif"}
17594
openml-python
Sklearn_0.20.3.
181
yeast
https://www.openml.org/data/download/3616/dataset_185_yeast.arff
-1
21800009
description
https://api.openml.org/data/download/21800009/description.xml
-1
21800010
predictions
https://api.openml.org/data/download/21800010/predictions.arff
area_under_roc_curve
0.8205727754841885 [0.788442,0.755139,0.839212,0.971701,0.924312,0.991564,0.901223,0.696057,0.869331,0.998445]
average_cost
0
f_measure
0.5710774753568699 [0.575851,0.512702,0.609071,0.789625,0.43956,0.711111,0.450704,0,0.5625,0.571429]
kappa
0.4507742797126477
kb_relative_information_score
0.4617873818239934
mean_absolute_error
0.1065726864330639
mean_prior_absolute_error
0.1555196527349269
weighted_recall
0.578167115902965 [0.602592,0.517483,0.577869,0.840491,0.392157,0.727273,0.457143,0,0.45,0.4]
number_of_instances
1484 [463,429,244,163,51,44,35,30,20,5]
precision
0.5682956284777079 [0.551383,0.508009,0.643836,0.744565,0.5,0.695652,0.444444,0,0.75,1]
predictive_accuracy
0.578167115902965
prior_entropy
2.490551390826767
relative_absolute_error
0.6852682896271
root_mean_prior_squared_error
0.27870754832695444
root_mean_squared_error
0.23562141034226947
root_relative_squared_error
0.8454073517444164
total_cost
0
unweighted_recall
0.4965006407304816 [0.602592,0.517483,0.577869,0.840491,0.392157,0.727273,0.457143,0,0.45,0.4]
area_under_roc_curve
0.845806499104829 [0.832916,0.787078,0.871833,0.979793,0.933333,1,0.840517,0.479452,0.982993,1]
area_under_roc_curve
0.7711926308559872 [0.76116,0.712484,0.677167,0.962876,0.960417,1,0.7,0.745434,1,1]
area_under_roc_curve
0.8101445898056475 [0.774377,0.726744,0.825484,0.987077,0.951389,0.998276,0.909483,0.738584,0.903061,1]
area_under_roc_curve
0.8311563401065849 [0.790946,0.782251,0.830645,0.984492,0.94375,0.984483,0.965517,0.810502,0.676871,1]
area_under_roc_curve
0.8504208151000404 [0.84335,0.78062,0.891382,0.990294,0.805751,0.993056,0.945977,0.575862,1,0.0]
area_under_roc_curve
0.8265239621704105 [0.826513,0.719158,0.822114,0.983665,0.928671,0.971329,0.971264,0.94023,0.928082,0.0]
area_under_roc_curve
0.8106190919423921 [0.817455,0.720044,0.864247,0.934441,0.926573,1,0.997701,0.464368,0.380137,0.0]
area_under_roc_curve
0.8305725596937996 [0.7435,0.767996,0.956317,0.946116,0.982517,0.988811,0.801149,0.841379,0.940068,0.0]
area_under_roc_curve
0.7964635649987488 [0.717604,0.75515,0.829133,0.984733,0.908392,0.997203,0.988506,0.428736,0.988014,0.0]
area_under_roc_curve
0.8419036987409108 [0.784706,0.815476,0.826949,0.977036,0.928671,1,0.942708,0.914943,0.916096,1]
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
0.5097850518726534 [0.505263,0.428571,0.538462,0.848485,0.25,0.75,0.25,0,0.5,1]
f_measure
0.6209520522407675 [0.659574,0.556962,0.64,0.777778,0.5,0.666667,0.5,0,1,0.0]
kappa
0.5092919313102799
kappa
0.3475496370943555
kappa
0.37562565475497617
kappa
0.4566841145680175
kappa
0.5246715328467153
kappa
0.4472373725397202
kappa
0.4382794144225556
kappa
0.477532459761862
kappa
0.44766458685637645
kappa
0.48085612366230673
kb_relative_information_score
0.5033375081915261
kb_relative_information_score
0.41884213036784923
kb_relative_information_score
0.44760438059271496
kb_relative_information_score
0.4560187316558103
kb_relative_information_score
0.49009081207094396
kb_relative_information_score
0.453609671973236
kb_relative_information_score
0.4318730144770849
kb_relative_information_score
0.49324282526300756
kb_relative_information_score
0.4536035400845926
kb_relative_information_score
0.47003228520355195
mean_absolute_error
0.10102013422818786
mean_absolute_error
0.11320357941834452
mean_absolute_error
0.11003355704697977
mean_absolute_error
0.10833557046979865
mean_absolute_error
0.10204054054054053
mean_absolute_error
0.10766666666666667
mean_absolute_error
0.10812162162162155
mean_absolute_error
0.10143243243243237
mean_absolute_error
0.10852522522522517
mean_absolute_error
0.10530495495495491
mean_prior_absolute_error
0.15550254710115635
mean_prior_absolute_error
0.15550254710115635
mean_prior_absolute_error
0.15569930729629933
mean_prior_absolute_error
0.15569930729629933
mean_prior_absolute_error
0.1553909331017765
mean_prior_absolute_error
0.15539726473461418
mean_prior_absolute_error
0.15547053077173564
mean_prior_absolute_error
0.15547053077173564
mean_prior_absolute_error
0.15547053077173564
mean_prior_absolute_error
0.1555908317956511
number_of_instances
149 [47,43,24,16,5,4,4,3,2,1]
number_of_instances
149 [47,43,24,16,5,4,4,3,2,1]
number_of_instances
149 [46,43,25,16,5,4,4,3,2,1]
number_of_instances
149 [46,43,25,16,5,4,4,3,2,1]
number_of_instances
148 [46,43,25,16,6,4,3,3,2,0]
number_of_instances
148 [46,43,25,16,5,5,3,3,2,0]
number_of_instances
148 [46,43,24,17,5,5,3,3,2,0]
number_of_instances
148 [46,43,24,17,5,5,3,3,2,0]
number_of_instances
148 [46,43,24,17,5,5,3,3,2,0]
number_of_instances
148 [47,42,24,16,5,4,4,3,2,1]
precision
0.5047970553238301 [0.489796,0.439024,0.518519,0.823529,0.333333,0.75,0.25,0,0.5,1]
precision
0.6201764264264266 [0.645833,0.611111,0.64,0.7,0.5,0.6,0.4,0,1,0.0]
predictive_accuracy
0.6241610738255033
predictive_accuracy
0.5100671140939598
predictive_accuracy
0.5167785234899329
predictive_accuracy
0.5838926174496644
predictive_accuracy
0.6283783783783784
predictive_accuracy
0.5743243243243243
predictive_accuracy
0.5743243243243243
predictive_accuracy
0.6013513513513513
predictive_accuracy
0.5675675675675675
predictive_accuracy
0.6013513513513513
prior_entropy
2.5041655121682567
prior_entropy
2.5041655121682567
prior_entropy
2.5103490226120484
prior_entropy
2.5103490226120484
prior_entropy
2.4699424845974893
prior_entropy
2.4713518536637826
prior_entropy
2.4752645964636777
prior_entropy
2.4752645964636777
prior_entropy
2.4752645964636777
prior_entropy
2.5089452008775033
relative_absolute_error
0.649636524361707
relative_absolute_error
0.7279853708422164
relative_absolute_error
0.7067055015060756
relative_absolute_error
0.6957999515285807
relative_absolute_error
0.6566698487723667
relative_absolute_error
0.6928478879633994
relative_absolute_error
0.6954476908576807
relative_absolute_error
0.6524222431668231
relative_absolute_error
0.6980437044018565
relative_absolute_error
0.6768069412551228
root_mean_prior_squared_error
0.2786768592126898
root_mean_prior_squared_error
0.2786768592126898
root_mean_prior_squared_error
0.2790296616057016
root_mean_prior_squared_error
0.2790296616057016
root_mean_prior_squared_error
0.2784765301803179
root_mean_prior_squared_error
0.2784878982902258
root_mean_prior_squared_error
0.27861940982499517
root_mean_prior_squared_error
0.27861940982499517
root_mean_prior_squared_error
0.27861940982499517
root_mean_prior_squared_error
0.27883521397976996
root_mean_squared_error
0.22447128334595465
root_mean_squared_error
0.24843380577900506
root_mean_squared_error
0.24051308410180322
root_mean_squared_error
0.23820215879873094
root_mean_squared_error
0.22276578416488155
root_mean_squared_error
0.2394727143766716
root_mean_squared_error
0.23818797936401723
root_mean_squared_error
0.22837566188835212
root_mean_squared_error
0.2423671228162397
root_mean_squared_error
0.23204992893668275
root_relative_squared_error
0.8054894976932233
root_relative_squared_error
0.8914762656679619
root_relative_squared_error
0.8619624262085571
root_relative_squared_error
0.8536804203107832
root_relative_squared_error
0.7999445555452632
root_relative_squared_error
0.8599034853827129
root_relative_squared_error
0.8548865260809593
root_relative_squared_error
0.8196688882221024
root_relative_squared_error
0.8698859959845366
root_relative_squared_error
0.8322117053462209
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
0.512365165759525 [0.595745,0.627907,0.625,0.875,0.4,1,0.5,0,0.5,0]
unweighted_recall
0.44073457859145637 [0.659574,0.418605,0.291667,0.6875,0.6,0.75,0.5,0,0.5,0]
unweighted_recall
0.5075343781597573 [0.521739,0.418605,0.56,0.875,0.2,0.75,0.25,0,0.5,1]
unweighted_recall
0.5189780080889788 [0.695652,0.511628,0.52,0.8125,0.4,0.5,0.25,0,0.5,1]
unweighted_recall
0.4804381965552178 [0.553191,0.642857,0.583333,0.875,0.4,1,0.25,0,0.5,0]
usercpu_time_millis
228.14193199999977
usercpu_time_millis
224.1105250000004
usercpu_time_millis
215.2568100000014
usercpu_time_millis
215.4889760000014
usercpu_time_millis
218.09897300000003
usercpu_time_millis
221.97914300000045
usercpu_time_millis
216.35895100000013
usercpu_time_millis
216.77988499999935
usercpu_time_millis
216.73032399999846
usercpu_time_millis
214.36261400000058
usercpu_time_millis_testing
8.900449999998727
usercpu_time_millis_testing
8.613551999999913
usercpu_time_millis_testing
8.68556700000056
usercpu_time_millis_testing
8.37325800000066
usercpu_time_millis_testing
8.231578000000184
usercpu_time_millis_testing
8.315681999999214
usercpu_time_millis_testing
8.052655000000186
usercpu_time_millis_testing
8.26826299999972
usercpu_time_millis_testing
8.672871999999998
usercpu_time_millis_testing
8.063802000000564
usercpu_time_millis_training
219.24148200000104
usercpu_time_millis_training
215.49697300000048
usercpu_time_millis_training
206.57124300000083
usercpu_time_millis_training
207.11571800000073
usercpu_time_millis_training
209.86739499999985
usercpu_time_millis_training
213.66346100000123
usercpu_time_millis_training
208.30629599999995
usercpu_time_millis_training
208.51162199999962
usercpu_time_millis_training
208.05745199999848
usercpu_time_millis_training
206.298812
wall_clock_time_millis
228.33013534545898
wall_clock_time_millis
224.83015060424805
wall_clock_time_millis
215.44122695922852
wall_clock_time_millis
215.57044982910156
wall_clock_time_millis
218.51396560668945
wall_clock_time_millis
222.08929061889648
wall_clock_time_millis
216.77231788635254
wall_clock_time_millis
216.85409545898438
wall_clock_time_millis
216.79306030273438
wall_clock_time_millis
214.4327163696289
wall_clock_time_millis_testing
8.953094482421875
wall_clock_time_millis_testing
8.71896743774414
wall_clock_time_millis_testing
8.689403533935547
wall_clock_time_millis_testing
8.376359939575195
wall_clock_time_millis_testing
8.304595947265625
wall_clock_time_millis_testing
8.319377899169922
wall_clock_time_millis_testing
8.055925369262695
wall_clock_time_millis_testing
8.27169418334961
wall_clock_time_millis_testing
8.676290512084961
wall_clock_time_millis_testing
8.067607879638672
wall_clock_time_millis_training
219.3770408630371
wall_clock_time_millis_training
216.1111831665039
wall_clock_time_millis_training
206.75182342529297
wall_clock_time_millis_training
207.19408988952637
wall_clock_time_millis_training
210.20936965942383
wall_clock_time_millis_training
213.76991271972656
wall_clock_time_millis_training
208.71639251708984
wall_clock_time_millis_training
208.58240127563477
wall_clock_time_millis_training
208.1167697906494
wall_clock_time_millis_training
206.36510848999023
weighted_recall
0.6241610738255033 [0.595745,0.627907,0.625,0.875,0.4,1,0.5,0,0.5,0]
weighted_recall
0.5100671140939598 [0.659574,0.418605,0.291667,0.6875,0.6,0.75,0.5,0,0.5,0]
weighted_recall
0.5167785234899329 [0.521739,0.418605,0.56,0.875,0.2,0.75,0.25,0,0.5,1]
weighted_recall
0.5838926174496645 [0.695652,0.511628,0.52,0.8125,0.4,0.5,0.25,0,0.5,1]
weighted_recall
0.6283783783783784 [0.673913,0.511628,0.64,0.875,0.5,0.75,0.666667,0,1,0.0]
weighted_recall
0.5743243243243243 [0.608696,0.534884,0.56,0.9375,0.4,0.4,0.333333,0,0,0.0]
weighted_recall
0.5743243243243243 [0.695652,0.488372,0.583333,0.764706,0.2,0.4,0.666667,0,0,0.0]
weighted_recall
0.6013513513513513 [0.586957,0.511628,0.791667,0.705882,0.4,0.8,0.666667,0,0.5,0.0]
weighted_recall
0.5675675675675675 [0.434783,0.511628,0.625,1,0.4,1,0.666667,0,0.5,0.0]
weighted_recall
0.6013513513513513 [0.553191,0.642857,0.583333,0.875,0.4,1,0.25,0,0.5,0]