8925666
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)
6862520
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
true
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.23381076172479787
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
1
7684
min_samples_split
5
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
18766900
description
https://api.openml.org/data/download/18766900/description.xml
-1
18766901
predictions
https://api.openml.org/data/download/18766901/predictions.arff
area_under_roc_curve
0.9837577777777777 [1,0.980053,0.997975,0.995347,0.983083,0.994478,0.946519,0.993356,0.999319,0.947447]
average_cost
0
f_measure
0.8341906404736464 [0.995,0.796992,0.957606,0.919192,0.826316,0.909535,0.539604,0.892086,0.966921,0.538653]
kappa
0.8155555555555555
kb_relative_information_score
1561.8786885534435
mean_absolute_error
0.06558304972915985
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8353190633393182 [0.995,0.798995,0.955224,0.928571,0.872222,0.889952,0.534314,0.857143,0.984456,0.537313]
predictive_accuracy
0.8340000000000001
prior_entropy
3.321928094887362
recall
0.834 [0.995,0.795,0.96,0.91,0.785,0.93,0.545,0.93,0.95,0.54]
relative_absolute_error
0.36435027627309907
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15843497499701203
root_relative_squared_error
0.5281165833233653
total_cost
0
area_under_roc_curve
0.982111111111111 [1,0.9825,0.994444,0.998056,0.9775,1,0.92,0.993889,0.999444,0.955278]
area_under_roc_curve
0.9831944444444446 [1,0.971667,0.998056,0.988611,0.984722,0.993333,0.951944,0.991389,0.998889,0.953333]
area_under_roc_curve
0.9820555555555555 [1,0.985556,1,0.988889,0.992222,0.995278,0.918889,0.9925,1,0.947222]
area_under_roc_curve
0.9890277777777778 [1,0.986111,0.997778,0.998611,0.991667,0.995278,0.976111,0.995556,0.999722,0.949444]
area_under_roc_curve
0.9853888888888889 [1,0.977778,0.999167,0.993611,0.994167,0.994722,0.956667,0.995,1,0.942778]
area_under_roc_curve
0.9852500000000001 [1,0.983056,1,0.996667,0.994167,0.994167,0.946389,0.993889,1,0.944167]
area_under_roc_curve
0.9826388888888888 [1,0.975,0.9975,0.998889,0.98,0.986389,0.966667,0.989722,1,0.932222]
area_under_roc_curve
0.9862499999999998 [1,0.977222,0.998056,0.996111,0.973333,0.998333,0.958333,0.995556,0.998056,0.9675]
area_under_roc_curve
0.9836666666666666 [1,0.9825,1,0.998056,0.986111,0.9875,0.944167,0.996111,1,0.942222]
area_under_roc_curve
0.9789722222222221 [1,0.983611,0.994167,0.999444,0.961389,0.999722,0.928056,0.992778,0.995278,0.935278]
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
0.8052696134122829 [0.974359,0.790698,0.926829,0.947368,0.820513,1,0.324324,0.9,0.95,0.418605]
f_measure
0.8192234720765633 [1,0.810811,0.952381,0.9,0.756757,0.837209,0.540541,0.829268,0.974359,0.590909]
f_measure
0.8216715804520682 [1,0.780488,0.974359,0.820513,0.829268,0.9,0.47619,0.871795,1,0.564103]
f_measure
0.8547288965027866 [1,0.789474,0.974359,0.952381,0.790698,0.878049,0.714286,0.842105,0.974359,0.631579]
f_measure
0.8279717721822983 [1,0.736842,0.947368,0.9,0.810811,0.909091,0.540541,0.863636,1,0.571429]
f_measure
0.8533378874649733 [1,0.829268,0.97561,0.894737,0.871795,0.9,0.619048,0.952381,0.95,0.540541]
f_measure
0.8390622019528119 [1,0.761905,0.947368,0.95,0.823529,0.883721,0.634146,0.863636,1,0.526316]
f_measure
0.8597896928384735 [1,0.761905,0.97561,0.95,0.810811,0.923077,0.681818,0.909091,0.918919,0.666667]
f_measure
0.846542709333407 [1,0.864865,1,0.952381,0.833333,0.923077,0.461538,0.930233,1,0.5]
f_measure
0.8137420316439333 [0.97561,0.85,0.904762,0.918919,0.918919,0.95,0.372093,0.952381,0.894737,0.4]
kappa
0.7833333333333334
kappa
0.7999999999999999
kappa
0.7999999999999999
kappa
0.8388888888888889
kappa
0.8111111111111111
kappa
0.8388888888888889
kappa
0.8222222222222222
kappa
0.8444444444444444
kappa
0.8277777777777777
kappa
0.788888888888889
kb_relative_information_score
154.8850074916623
kb_relative_information_score
155.65381409378872
kb_relative_information_score
154.84992455809063
kb_relative_information_score
158.28723891142647
kb_relative_information_score
155.12258412465567
kb_relative_information_score
158.77898192364023
kb_relative_information_score
156.2965997907749
kb_relative_information_score
157.15749909533864
kb_relative_information_score
158.65243890060162
kb_relative_information_score
152.19459966346506
mean_absolute_error
0.06759710209235212
mean_absolute_error
0.06609405353535353
mean_absolute_error
0.06678341932511932
mean_absolute_error
0.0637581481240981
mean_absolute_error
0.06728754385059386
mean_absolute_error
0.06259264367854371
mean_absolute_error
0.06587694588744586
mean_absolute_error
0.06522937424242427
mean_absolute_error
0.06259071472416472
mean_absolute_error
0.06802055183150182
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
0.8080243126999084 [1,0.73913,0.904762,1,0.842105,1,0.352941,0.9,0.95,0.391304]
precision
0.8237007727992384 [1,0.882353,0.909091,0.9,0.823529,0.782609,0.588235,0.809524,1,0.541667]
precision
0.8241763499658237 [1,0.761905,1,0.842105,0.809524,0.9,0.454545,0.894737,1,0.578947]
precision
0.8576071271723446 [1,0.833333,1,0.909091,0.73913,0.857143,0.681818,0.888889,1,0.666667]
precision
0.8318820558526441 [1,0.777778,1,0.9,0.882353,0.833333,0.588235,0.791667,1,0.545455]
precision
0.8539321342572117 [1,0.809524,0.952381,0.944444,0.894737,0.9,0.590909,0.909091,0.95,0.588235]
precision
0.8469629525064307 [1,0.727273,1,0.95,1,0.826087,0.619048,0.791667,1,0.555556]
precision
0.8667708375216115 [1,0.727273,0.952381,0.95,0.882353,0.947368,0.625,0.833333,1,0.75]
precision
0.8536718561982728 [1,0.941176,1,0.909091,0.9375,0.947368,0.473684,0.869565,1,0.458333]
precision
0.8217378756509192 [0.952381,0.85,0.863636,1,1,0.95,0.347826,0.909091,0.944444,0.4]
predictive_accuracy
0.805
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.855
predictive_accuracy
0.83
predictive_accuracy
0.855
predictive_accuracy
0.84
predictive_accuracy
0.86
predictive_accuracy
0.845
predictive_accuracy
0.81
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
0.805 [0.95,0.85,0.95,0.9,0.8,1,0.3,0.9,0.95,0.45]
recall
0.82 [1,0.75,1,0.9,0.7,0.9,0.5,0.85,0.95,0.65]
recall
0.82 [1,0.8,0.95,0.8,0.85,0.9,0.5,0.85,1,0.55]
recall
0.855 [1,0.75,0.95,1,0.85,0.9,0.75,0.8,0.95,0.6]
recall
0.83 [1,0.7,0.9,0.9,0.75,1,0.5,0.95,1,0.6]
recall
0.855 [1,0.85,1,0.85,0.85,0.9,0.65,1,0.95,0.5]
recall
0.84 [1,0.8,0.9,0.95,0.7,0.95,0.65,0.95,1,0.5]
recall
0.86 [1,0.8,1,0.95,0.75,0.9,0.75,1,0.85,0.6]
recall
0.845 [1,0.8,1,1,0.75,0.9,0.45,1,1,0.55]
recall
0.81 [1,0.85,0.95,0.85,0.85,0.95,0.4,1,0.85,0.4]
relative_absolute_error
0.37553945606862327
relative_absolute_error
0.36718918630752
relative_absolute_error
0.37101899625066326
relative_absolute_error
0.3542119340227676
relative_absolute_error
0.3738196880588552
relative_absolute_error
0.34773690932524326
relative_absolute_error
0.365983032708033
relative_absolute_error
0.36238541245791306
relative_absolute_error
0.3477261929120266
relative_absolute_error
0.37789195461945496
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
0.16142850459352007
root_mean_squared_error
0.1619749114354341
root_mean_squared_error
0.16118308918439267
root_mean_squared_error
0.1524899964628037
root_mean_squared_error
0.1610385135922285
root_mean_squared_error
0.15237577320607443
root_mean_squared_error
0.1583937063241482
root_mean_squared_error
0.15660217357030654
root_mean_squared_error
0.15197925007083635
root_mean_squared_error
0.16621044850035777
root_relative_squared_error
0.5380950153117339
root_relative_squared_error
0.5399163714514473
root_relative_squared_error
0.5372769639479759
root_relative_squared_error
0.508299988209346
root_relative_squared_error
0.5367950453074287
root_relative_squared_error
0.5079192440202484
root_relative_squared_error
0.5279790210804943
root_relative_squared_error
0.5220072452343554
root_relative_squared_error
0.5065975002361215
root_relative_squared_error
0.5540348283345262
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
14445.055045998743
usercpu_time_millis
14490.65757199969
usercpu_time_millis
14437.788926001303
usercpu_time_millis
14467.412902000433
usercpu_time_millis
14503.702139001689
usercpu_time_millis
14439.136771999983
usercpu_time_millis
14480.579527000373
usercpu_time_millis
14452.876626000943
usercpu_time_millis
14443.874493999829
usercpu_time_millis
14617.616919998909
usercpu_time_millis_testing
97.18128599888587
usercpu_time_millis_testing
98.07035399899178
usercpu_time_millis_testing
104.10540399971069
usercpu_time_millis_testing
104.93478600074013
usercpu_time_millis_testing
97.91365100136318
usercpu_time_millis_testing
100.53605299981427
usercpu_time_millis_testing
131.95460899987665
usercpu_time_millis_testing
95.93757699985872
usercpu_time_millis_testing
98.39198000008764
usercpu_time_millis_testing
103.1820059997699
usercpu_time_millis_training
14347.873759999857
usercpu_time_millis_training
14392.587218000699
usercpu_time_millis_training
14333.683522001593
usercpu_time_millis_training
14362.478115999693
usercpu_time_millis_training
14405.788488000326
usercpu_time_millis_training
14338.60071900017
usercpu_time_millis_training
14348.624918000496
usercpu_time_millis_training
14356.939049001085
usercpu_time_millis_training
14345.482513999741
usercpu_time_millis_training
14514.43491399914