8924605
1935
Hilde Weerts
14
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6861486
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
false
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.5223207547615432
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
2
7684
min_samples_split
14
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18764792
description
https://api.openml.org/data/download/18764792/description.xml
-1
18764793
predictions
https://api.openml.org/data/download/18764793/predictions.arff
area_under_roc_curve
0.9820658333333332 [0.999986,0.976817,0.995581,0.991042,0.978453,0.994453,0.945317,0.992492,0.998806,0.947714]
average_cost
0
f_measure
0.830522856353587 [0.987654,0.80397,0.947103,0.902564,0.805263,0.906863,0.542289,0.890476,0.961832,0.557214]
kappa
0.8116666666666666
kb_relative_information_score
1600.537994518139
mean_absolute_error
0.05685112917082926
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.831702691729631 [0.97561,0.79803,0.954315,0.926316,0.85,0.889423,0.539604,0.85,0.979275,0.554455]
predictive_accuracy
0.8305
prior_entropy
3.321928094887362
recall
0.8305 [1,0.81,0.94,0.88,0.765,0.925,0.545,0.935,0.945,0.56]
relative_absolute_error
0.3158396065045973
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15683358908717912
root_relative_squared_error
0.522778630290589
total_cost
0
area_under_roc_curve
0.9832222222222222 [1,0.981944,0.995556,0.996667,0.982222,1,0.931111,0.992778,0.999167,0.952778]
area_under_roc_curve
0.9817499999999998 [0.999722,0.976389,0.994167,0.989444,0.981111,0.990556,0.952778,0.990556,0.995556,0.947222]
area_under_roc_curve
0.9752777777777777 [1,0.979444,0.999722,0.969167,0.986111,0.9925,0.896389,0.9925,1,0.936944]
area_under_roc_curve
0.9883611111111112 [1,0.978056,0.996944,0.995278,0.987778,0.996944,0.9775,0.995556,0.999722,0.955833]
area_under_roc_curve
0.9851666666666666 [1,0.973333,1,0.9975,0.99,0.995,0.956389,0.991111,1,0.948333]
area_under_roc_curve
0.9866388888888887 [1,0.981944,1,0.994167,0.992778,0.995,0.955,0.994167,0.999722,0.953611]
area_under_roc_curve
0.9821666666666666 [1,0.971111,0.984167,0.997222,0.984167,0.991667,0.964722,0.989167,1,0.939444]
area_under_roc_curve
0.9828055555555557 [1,0.973056,0.998056,0.987778,0.951667,0.997222,0.959722,0.996667,0.996944,0.966944]
area_under_roc_curve
0.9817222222222223 [1,0.971111,1,0.9975,0.979722,0.987222,0.943056,0.995556,1,0.943056]
area_under_roc_curve
0.9746944444444445 [1,0.981667,0.99,0.986667,0.9475,0.997222,0.920833,0.9925,0.994722,0.935833]
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
0.8308349813227862 [1,0.772727,0.926829,0.918919,0.829268,1,0.424242,0.9,0.9,0.636364]
f_measure
0.7942230283672802 [0.97561,0.769231,0.894737,0.871795,0.742857,0.818182,0.55814,0.863636,0.974359,0.473684]
f_measure
0.7785259587698612 [1,0.714286,0.918919,0.756757,0.75,0.878049,0.35,0.871795,1,0.545455]
f_measure
0.8702022047272366 [1,0.820513,0.95,0.926829,0.818182,0.923077,0.736842,0.820513,0.974359,0.731707]
f_measure
0.8220638802663268 [0.97561,0.75,0.974359,0.926829,0.764706,0.909091,0.526316,0.857143,1,0.536585]
f_measure
0.8680532087450618 [1,0.9,1,0.894737,0.829268,0.878049,0.666667,0.930233,0.95,0.631579]
f_measure
0.8434819710545896 [1,0.857143,0.947368,0.926829,0.857143,0.878049,0.604651,0.863636,1,0.5]
f_measure
0.8522566940604378 [1,0.744186,0.97561,0.918919,0.810811,0.923077,0.634146,0.930233,0.918919,0.666667]
f_measure
0.8508126946509488 [1,0.888889,0.97561,0.952381,0.842105,0.923077,0.473684,0.952381,1,0.5]
f_measure
0.7892943635069983 [0.930233,0.842105,0.904762,0.918919,0.8,0.95,0.44898,0.909091,0.894737,0.294118]
kappa
0.8166666666666667
kappa
0.7722222222222223
kappa
0.75
kappa
0.8555555555555555
kappa
0.8055555555555555
kappa
0.8555555555555555
kappa
0.8277777777777777
kappa
0.8333333333333333
kappa
0.8333333333333333
kappa
0.7666666666666667
kb_relative_information_score
160.1768888930723
kb_relative_information_score
157.63392301429064
kb_relative_information_score
154.79743645954787
kb_relative_information_score
162.95525731448615
kb_relative_information_score
160.0402743826598
kb_relative_information_score
163.1639798351664
kb_relative_information_score
161.52996726250137
kb_relative_information_score
160.5890946847968
kb_relative_information_score
163.79379908470418
kb_relative_information_score
155.85737358691543
mean_absolute_error
0.057269866222666235
mean_absolute_error
0.05905111385281388
mean_absolute_error
0.06068835739815742
mean_absolute_error
0.054370890970140945
mean_absolute_error
0.05836931569541571
mean_absolute_error
0.05406094129204134
mean_absolute_error
0.05589709250194252
mean_absolute_error
0.05645414860694861
mean_absolute_error
0.05267817331557331
mean_absolute_error
0.05967139185259186
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
0.834441391941392 [1,0.708333,0.904762,1,0.809524,1,0.538462,0.9,0.9,0.583333]
precision
0.8011108386909302 [0.952381,0.789474,0.944444,0.894737,0.866667,0.75,0.521739,0.791667,1,0.5]
precision
0.7857227292831007 [1,0.681818,1,0.823529,0.75,0.857143,0.35,0.894737,1,0.5]
precision
0.8728404344193819 [1,0.842105,0.95,0.904762,0.75,0.947368,0.777778,0.842105,1,0.714286]
precision
0.8266594516594518 [0.952381,0.75,1,0.904762,0.928571,0.833333,0.555556,0.818182,1,0.52381]
precision
0.8681553521484873 [1,0.9,1,0.944444,0.809524,0.857143,0.684211,0.869565,0.95,0.666667]
precision
0.8499470638057594 [1,0.818182,1,0.904762,1,0.857143,0.565217,0.791667,1,0.5625]
precision
0.8602730961325658 [1,0.695652,0.952381,1,0.882353,0.947368,0.619048,0.869565,1,0.636364]
precision
0.8565153413837624 [1,1,0.952381,0.909091,0.888889,0.947368,0.5,0.909091,1,0.458333]
precision
0.8019654782998111 [0.869565,0.888889,0.863636,1,0.933333,0.95,0.37931,0.833333,0.944444,0.357143]
predictive_accuracy
0.835
predictive_accuracy
0.795
predictive_accuracy
0.775
predictive_accuracy
0.87
predictive_accuracy
0.825
predictive_accuracy
0.87
predictive_accuracy
0.845
predictive_accuracy
0.85
predictive_accuracy
0.85
predictive_accuracy
0.79
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
0.835 [1,0.85,0.95,0.85,0.85,1,0.35,0.9,0.9,0.7]
recall
0.795 [1,0.75,0.85,0.85,0.65,0.9,0.6,0.95,0.95,0.45]
recall
0.775 [1,0.75,0.85,0.7,0.75,0.9,0.35,0.85,1,0.6]
recall
0.87 [1,0.8,0.95,0.95,0.9,0.9,0.7,0.8,0.95,0.75]
recall
0.825 [1,0.75,0.95,0.95,0.65,1,0.5,0.9,1,0.55]
recall
0.87 [1,0.9,1,0.85,0.85,0.9,0.65,1,0.95,0.6]
recall
0.845 [1,0.9,0.9,0.95,0.75,0.9,0.65,0.95,1,0.45]
recall
0.85 [1,0.8,1,0.85,0.75,0.9,0.65,1,0.85,0.7]
recall
0.85 [1,0.8,1,1,0.8,0.9,0.45,1,1,0.55]
recall
0.79 [1,0.8,0.95,0.85,0.7,0.95,0.55,1,0.85,0.25]
relative_absolute_error
0.3181659234592572
relative_absolute_error
0.3280617436267441
relative_absolute_error
0.3371575411008749
relative_absolute_error
0.3020605053896723
relative_absolute_error
0.3242739760856432
relative_absolute_error
0.30033856273356335
relative_absolute_error
0.3105394027885699
relative_absolute_error
0.31363415892749263
relative_absolute_error
0.292656518419852
relative_absolute_error
0.3315077325143996
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
0.1573538707827343
root_mean_squared_error
0.16429037156951626
root_mean_squared_error
0.17068667713617672
root_mean_squared_error
0.1478670466321765
root_mean_squared_error
0.15743405977632116
root_mean_squared_error
0.14859402288910764
root_mean_squared_error
0.15360429041040102
root_mean_squared_error
0.15371934873734194
root_mean_squared_error
0.14749705958613116
root_mean_squared_error
0.1654466952710071
root_relative_squared_error
0.5245129026091147
root_relative_squared_error
0.5476345718983879
root_relative_squared_error
0.5689555904539226
root_relative_squared_error
0.4928901554405886
root_relative_squared_error
0.5247801992544042
root_relative_squared_error
0.4953134096303591
root_relative_squared_error
0.5120143013680037
root_relative_squared_error
0.5123978291244735
root_relative_squared_error
0.4916568652871042
root_relative_squared_error
0.5514889842366908
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
90533.63095799978
usercpu_time_millis
88448.5282880014
usercpu_time_millis
87000.49714200031
usercpu_time_millis
87793.62670699993
usercpu_time_millis
91973.33792900099
usercpu_time_millis
87400.0378159999
usercpu_time_millis
88764.37440799964
usercpu_time_millis
87747.50372800008
usercpu_time_millis
90069.83580499764
usercpu_time_millis
90620.04493199856
usercpu_time_millis_testing
206.6253119992325
usercpu_time_millis_testing
217.21511400028248
usercpu_time_millis_testing
172.9508540011011
usercpu_time_millis_testing
168.58687700005248
usercpu_time_millis_testing
169.05374100133486
usercpu_time_millis_testing
158.9794339997752
usercpu_time_millis_testing
242.83986800037383
usercpu_time_millis_testing
190.4964690002089
usercpu_time_millis_testing
170.32804199880047
usercpu_time_millis_testing
190.1038959986181
usercpu_time_millis_training
90327.00564600054
usercpu_time_millis_training
88231.31317400112
usercpu_time_millis_training
86827.54628799921
usercpu_time_millis_training
87625.03982999988
usercpu_time_millis_training
91804.28418799966
usercpu_time_millis_training
87241.05838200012
usercpu_time_millis_training
88521.53453999927
usercpu_time_millis_training
87557.00725899987
usercpu_time_millis_training
89899.50776299884
usercpu_time_millis_training
90429.94103599995