6124658
1
Jan van Rijn
14967
Supervised Classification
7096
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier))(1)
4158631
bootstrap
true
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
"auto"
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
5
6902
min_samples_split
11
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
10
6902
n_jobs
1
6902
oob_score
false
6902
random_state
1
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
cv
null
7096
error_score
"raise"
7096
fit_params
{}
7096
iid
true
7096
n_iter
50
7096
n_jobs
1
7096
param_distributions
{"classifier__min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], "classifier__bootstrap": [true, false], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]}
7096
pre_dispatch
"2*n_jobs"
7096
random_state
1
7096
refit
true
7096
return_train_score
true
7096
scoring
null
7096
verbose
0
7096
openml-python
Sklearn_0.18.1.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
13175743
description
https://api.openml.org/data/download/13175743/description.xml
-1
13175744
predictions
https://api.openml.org/data/download/13175744/predictions.arff
-1
13175745
trace
https://api.openml.org/data/download/13175745/trace.arff
area_under_roc_curve
0.998434066435541 [0.999942,0.994692,0.998854,0.999961,0.998622,0.995745]
average_cost
0
f_measure
0.9864139270923586 [0.991304,0.974963,0.985999,0.990234,0.993969,0.972875]
kappa
0.9834012787114463
kb_relative_information_score
2704.204199562795
mean_absolute_error
0.013154631420578955
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.986444318391034 [0.993031,0.97929,0.988183,0.988304,0.992771,0.964158]
predictive_accuracy
0.9864091559370529
prior_entropy
2.5206634795042744
recall
0.9864091559370529 [0.989583,0.970674,0.983824,0.992172,0.995169,0.981752]
relative_absolute_error
0.048206657829069896
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.06681248742980261
root_relative_squared_error
0.1808819178151569
total_cost
0
area_under_roc_curve
0.9959565325472722 [1,0.998386,0.999861,0.999914,1,0.962018]
area_under_roc_curve
0.9981132075471698 [1,1,0.992231,1,1,1]
area_under_roc_curve
0.9978358088142502 [0.999845,0.999761,0.999029,1,0.987346,0.999858]
area_under_roc_curve
0.9981202643659088 [1,0.984637,1,1,1,0.999858]
area_under_roc_curve
0.9999447311160731 [1,0.99988,0.999861,1,1,0.999927]
area_under_roc_curve
0.9991543686554024 [1,0.998134,0.997711,1,1,0.999414]
area_under_roc_curve
0.9999685593913099 [1,1,1,0.999828,1,1]
area_under_roc_curve
0.9960806015283089 [1,0.968667,0.999895,1,0.999498,1]
area_under_roc_curve
0.9999373413351909 [0.999763,1,1,1,1,0.999853]
area_under_roc_curve
1 [1,1,1,1,1,1]
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
0.9784941624559224 [0.991304,0.955224,0.978417,0.980392,1,0.945455]
f_measure
0.9825112856511142 [0.982456,0.985507,0.985075,0.990099,1,0.933333]
f_measure
0.9821274183827737 [0.991453,0.985507,0.963504,1,0.975,0.981818]
f_measure
0.9927955085849823 [0.991453,0.969697,1,1,1,0.982456]
f_measure
0.985668273238149 [1,0.985507,0.969697,0.990476,1,0.964286]
f_measure
0.9785474446188731 [1,0.942857,0.977778,0.971429,1,0.961538]
f_measure
0.9855902469287984 [0.982759,0.969697,0.992701,0.98,1,0.981818]
f_measure
0.9893108150678289 [1,0.969697,0.992593,1,0.965517,1]
f_measure
0.9928175201977268 [0.982143,1,1,0.990291,1,0.981818]
f_measure
0.9964258838639805 [0.99115,0.985507,1,1,1,1]
kappa
0.9737934046735093
kappa
0.9782429639299424
kappa
0.9781727471156844
kappa
0.9912734525961479
kappa
0.9825746024831192
kappa
0.9738093382180996
kappa
0.982474599161419
kappa
0.9868660557368818
kappa
0.9912476079932239
kappa
0.9956229114698545
kb_relative_information_score
270.22605043294135
kb_relative_information_score
273.11113963442256
kb_relative_information_score
271.38438466721993
kb_relative_information_score
274.096654340555
kb_relative_information_score
272.58344303247924
kb_relative_information_score
261.4340958479752
kb_relative_information_score
272.18588914179696
kb_relative_information_score
270.8412795198612
kb_relative_information_score
265.83250207349863
kb_relative_information_score
272.50876087200595
mean_absolute_error
0.011752645502645178
mean_absolute_error
0.010059618291760655
mean_absolute_error
0.011665202191989524
mean_absolute_error
0.008053713151927619
mean_absolute_error
0.010239984882841313
mean_absolute_error
0.02808334918869464
mean_absolute_error
0.009484364036335362
mean_absolute_error
0.010897290019153825
mean_absolute_error
0.020879657267086724
mean_absolute_error
0.010427168079496778
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.9787836446287148 [1,0.969697,0.957746,0.980392,1,0.962963]
precision
0.9840306122448979 [1,0.971429,1,1,1,0.875]
precision
0.9824607101499406 [0.983051,0.971429,0.956522,1,1,1]
precision
0.9930408282541537 [0.983051,1,1,1,1,0.965517]
precision
0.9863763228127945 [1,0.971429,1,0.981132,1,0.931034]
precision
0.9791133617626154 [1,0.942857,0.985075,0.944444,1,1]
precision
0.9860860345860466 [0.966102,1,0.985507,1,1,0.964286]
precision
0.9899641577060931 [1,1,1,1,0.933333,1]
precision
0.9930284768994446 [1,1,1,0.980769,1,0.964286]
precision
0.9965181771633383 [1,0.971429,1,1,1,1]
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.9928571428571429
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.9856630824372761
predictive_accuracy
0.989247311827957
predictive_accuracy
0.992831541218638
predictive_accuracy
0.996415770609319
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.9785714285714285 [0.982759,0.941176,1,0.980392,1,0.928571]
recall
0.9821428571428571 [0.965517,1,0.970588,0.980392,1,1]
recall
0.9821428571428571 [1,1,0.970588,1,0.95122,0.964286]
recall
0.9928571428571429 [1,0.941176,1,1,1,1]
recall
0.9857142857142858 [1,1,0.941176,1,1,1]
recall
0.9785714285714285 [1,0.942857,0.970588,1,1,0.925926]
recall
0.985663082437276 [1,0.941176,1,0.960784,1,1]
recall
0.989247311827957 [1,0.941176,0.985294,1,1,1]
recall
0.992831541218638 [0.964912,1,1,1,1,1]
recall
0.996415770609319 [0.982456,1,1,1,1,1]
relative_absolute_error
0.04306497221318288
relative_absolute_error
0.03686124814301548
relative_absolute_error
0.0427445555254876
relative_absolute_error
0.029511052045485965
relative_absolute_error
0.037536011267892244
relative_absolute_error
0.10291596184504653
relative_absolute_error
0.03475720957199669
relative_absolute_error
0.03993513866733706
relative_absolute_error
0.07651737329390886
relative_absolute_error
0.03821228970050563
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.0746510348960199
root_mean_squared_error
0.0608562853521035
root_mean_squared_error
0.07200401419331688
root_mean_squared_error
0.05843245010881813
root_mean_squared_error
0.05838731125692939
root_mean_squared_error
0.08769839764105564
root_mean_squared_error
0.059690185702635436
root_mean_squared_error
0.06631964220189498
root_mean_squared_error
0.07158360953197325
root_mean_squared_error
0.05070031115640708
root_relative_squared_error
0.20208475034771461
root_relative_squared_error
0.164741550463419
root_relative_squared_error
0.1949191093272511
root_relative_squared_error
0.15818008563301744
root_relative_squared_error
0.15811623969720776
root_relative_squared_error
0.23742949579969147
root_relative_squared_error
0.16160276689096204
root_relative_squared_error
0.17955108621100585
root_relative_squared_error
0.19380253601553743
root_relative_squared_error
0.137263948313472
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
24698.389287000282
usercpu_time_millis
24588.32990100018
usercpu_time_millis
24758.317276000525
usercpu_time_millis
24337.952416000007
usercpu_time_millis
24939.501269000175
usercpu_time_millis
23885.629160999997
usercpu_time_millis
24326.96004599984
usercpu_time_millis
24087.402279000344
usercpu_time_millis
25036.09761200005
usercpu_time_millis
24481.415942999774
usercpu_time_millis_testing
10.189325000283134
usercpu_time_millis_testing
9.558795999510039
usercpu_time_millis_testing
9.624712000004365
usercpu_time_millis_testing
9.54109000031167
usercpu_time_millis_testing
9.589541999957873
usercpu_time_millis_testing
9.640547999879345
usercpu_time_millis_testing
9.585200000401528
usercpu_time_millis_testing
9.98501599951851
usercpu_time_millis_testing
9.360354999444098
usercpu_time_millis_testing
9.68973500039283
usercpu_time_millis_training
24688.199962
usercpu_time_millis_training
24578.77110500067
usercpu_time_millis_training
24748.69256400052
usercpu_time_millis_training
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usercpu_time_millis_training
24929.911727000217
usercpu_time_millis_training
23875.988613000118
usercpu_time_millis_training
24317.37484599944
usercpu_time_millis_training
24077.417263000825
usercpu_time_millis_training
25026.737257000605
usercpu_time_millis_training
24471.72620799938