8916092
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)
6853135
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
"entropy"
7684
max_depth
null
7684
max_features
0.9627620142731295
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
10
7684
min_samples_split
11
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
18747822
description
https://api.openml.org/data/download/18747822/description.xml
-1
18747823
predictions
https://api.openml.org/data/download/18747823/predictions.arff
area_under_roc_curve
0.9783733333333333 [0.99975,0.967022,0.991958,0.984617,0.974603,0.986928,0.943431,0.988606,0.997331,0.949489]
average_cost
0
f_measure
0.7986242253713551 [0.972569,0.718447,0.917293,0.842932,0.765306,0.874372,0.532663,0.873563,0.940874,0.548223]
kappa
0.7766666666666667
kb_relative_information_score
1559.1843345374832
mean_absolute_error
0.06214148253667653
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8001332887464737 [0.970149,0.698113,0.919598,0.884615,0.78125,0.878788,0.535354,0.808511,0.968254,0.556701]
predictive_accuracy
0.799
prior_entropy
3.321928094887362
recall
0.799 [0.975,0.74,0.915,0.805,0.75,0.87,0.53,0.95,0.915,0.54]
relative_absolute_error
0.3452304585370812
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1654616779850685
root_relative_squared_error
0.5515389266168866
total_cost
0
area_under_roc_curve
0.9786666666666666 [1,0.9675,0.990833,0.993333,0.959722,1,0.931111,0.993333,0.997778,0.953056]
area_under_roc_curve
0.9789166666666667 [0.999444,0.983611,0.986667,0.978611,0.964444,0.982778,0.952778,0.9925,0.999722,0.948611]
area_under_roc_curve
0.9724722222222223 [1,0.965833,0.996667,0.968889,0.979444,0.99,0.908889,0.969444,1,0.945556]
area_under_roc_curve
0.9825833333333333 [0.999167,0.960833,0.994444,0.994722,0.980833,0.989444,0.968333,0.996667,0.999444,0.941944]
area_under_roc_curve
0.9806388888888891 [1,0.966389,0.995556,0.993611,0.984444,0.989722,0.959167,0.986389,0.999167,0.931944]
area_under_roc_curve
0.9787777777777777 [1,0.961389,0.999444,0.983333,0.983333,0.967222,0.944167,0.991667,0.999444,0.957778]
area_under_roc_curve
0.9838055555555553 [1,0.978333,0.986389,0.993333,0.989722,0.985278,0.975833,0.986944,1,0.942222]
area_under_roc_curve
0.9816944444444445 [0.999722,0.972778,0.999722,0.980556,0.968889,0.991667,0.952222,0.993333,0.983056,0.975]
area_under_roc_curve
0.9802222222222221 [0.999722,0.959722,0.999444,0.997222,0.985,0.979444,0.935833,0.994444,1,0.951389]
area_under_roc_curve
0.9737500000000001 [1,0.9625,0.982222,0.974167,0.966111,0.995,0.910833,0.993611,0.996944,0.956111]
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
0.7953049927784979 [0.97561,0.711111,0.9,0.857143,0.790698,0.974359,0.421053,0.9,0.923077,0.5]
f_measure
0.790208310233984 [0.974359,0.772727,0.864865,0.820513,0.666667,0.829268,0.526316,0.863636,0.947368,0.636364]
f_measure
0.7797606635807591 [1,0.651163,0.918919,0.666667,0.782609,0.871795,0.473684,0.871795,0.97561,0.585366]
f_measure
0.8148926204767025 [0.95,0.756757,0.926829,0.926829,0.75,0.8,0.634146,0.878049,0.947368,0.578947]
f_measure
0.7532743359287302 [0.97561,0.65,0.947368,0.9,0.647059,0.809524,0.473684,0.77551,0.97561,0.378378]
f_measure
0.8221421999328975 [1,0.727273,0.95,0.75,0.727273,0.863636,0.648649,0.930233,0.974359,0.65]
f_measure
0.8235774751564223 [0.974359,0.736842,0.9,0.9,0.894737,0.863636,0.615385,0.863636,0.974359,0.512821]
f_measure
0.8108207455575875 [0.95,0.714286,0.952381,0.864865,0.756757,0.894737,0.571429,0.888889,0.864865,0.65]
f_measure
0.8165377841509448 [0.95,0.722222,0.926829,0.9,0.85,0.923077,0.473684,0.869565,1,0.55]
f_measure
0.7712419458551196 [0.97561,0.744186,0.883721,0.823529,0.756757,0.918919,0.489796,0.909091,0.810811,0.4]
kappa
0.7722222222222223
kappa
0.7666666666666667
kappa
0.7555555555555555
kappa
0.7944444444444444
kappa
0.7333333333333334
kappa
0.8055555555555555
kappa
0.8055555555555555
kappa
0.788888888888889
kappa
0.7999999999999999
kappa
0.7444444444444445
kb_relative_information_score
157.14961878404418
kb_relative_information_score
153.58264974350016
kb_relative_information_score
152.49923209698864
kb_relative_information_score
156.11064210474038
kb_relative_information_score
155.6271481155144
kb_relative_information_score
157.91701525274595
kb_relative_information_score
157.90628575250585
kb_relative_information_score
155.30336199198985
kb_relative_information_score
159.4293298712632
kb_relative_information_score
153.65905082419258
mean_absolute_error
0.0611014241080267
mean_absolute_error
0.0642904561233582
mean_absolute_error
0.0655335513133394
mean_absolute_error
0.061445497890390596
mean_absolute_error
0.06200991316073589
mean_absolute_error
0.06015952840959762
mean_absolute_error
0.060831251721523566
mean_absolute_error
0.06294111343804816
mean_absolute_error
0.058779374657910825
mean_absolute_error
0.06432271454383455
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
0.8023324252660636 [0.952381,0.64,0.9,1,0.73913,1,0.444444,0.9,0.947368,0.5]
precision
0.7981694432158828 [1,0.708333,0.941176,0.842105,0.75,0.809524,0.555556,0.791667,1,0.583333]
precision
0.7864286552501655 [1,0.608696,1,0.75,0.692308,0.894737,0.5,0.894737,0.952381,0.571429]
precision
0.824654528478058 [0.95,0.823529,0.904762,0.904762,0.642857,0.933333,0.619048,0.857143,1,0.611111]
precision
0.758014058287892 [0.952381,0.65,1,0.9,0.785714,0.772727,0.5,0.655172,0.952381,0.411765]
precision
0.8306857826742737 [1,0.666667,0.95,0.75,0.923077,0.791667,0.705882,0.869565,1,0.65]
precision
0.8263450292397659 [1,0.777778,0.9,0.9,0.944444,0.791667,0.631579,0.791667,1,0.526316]
precision
0.8186690433749257 [0.95,0.681818,0.909091,0.941176,0.823529,0.944444,0.545455,0.8,0.941176,0.65]
precision
0.8183861095045306 [0.95,0.8125,0.904762,0.9,0.85,0.947368,0.5,0.769231,1,0.55]
precision
0.7893795539205187 [0.952381,0.695652,0.826087,1,0.823529,1,0.413793,0.833333,0.882353,0.466667]
predictive_accuracy
0.795
predictive_accuracy
0.79
predictive_accuracy
0.78
predictive_accuracy
0.815
predictive_accuracy
0.76
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.81
predictive_accuracy
0.82
predictive_accuracy
0.77
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
0.795 [1,0.8,0.9,0.75,0.85,0.95,0.4,0.9,0.9,0.5]
recall
0.79 [0.95,0.85,0.8,0.8,0.6,0.85,0.5,0.95,0.9,0.7]
recall
0.78 [1,0.7,0.85,0.6,0.9,0.85,0.45,0.85,1,0.6]
recall
0.815 [0.95,0.7,0.95,0.95,0.9,0.7,0.65,0.9,0.9,0.55]
recall
0.76 [1,0.65,0.9,0.9,0.55,0.85,0.45,0.95,1,0.35]
recall
0.825 [1,0.8,0.95,0.75,0.6,0.95,0.6,1,0.95,0.65]
recall
0.825 [0.95,0.7,0.9,0.9,0.85,0.95,0.6,0.95,0.95,0.5]
recall
0.81 [0.95,0.75,1,0.8,0.7,0.85,0.6,1,0.8,0.65]
recall
0.82 [0.95,0.65,0.95,0.9,0.85,0.9,0.45,1,1,0.55]
recall
0.77 [1,0.8,0.95,0.7,0.7,0.85,0.6,1,0.75,0.35]
relative_absolute_error
0.33945235615570424
relative_absolute_error
0.35716920068532376
relative_absolute_error
0.36407528507410825
relative_absolute_error
0.34136387716883704
relative_absolute_error
0.3444995175596442
relative_absolute_error
0.3342196022755427
relative_absolute_error
0.33795139845290906
relative_absolute_error
0.34967285243360124
relative_absolute_error
0.3265520814328383
relative_absolute_error
0.35734841413241464
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
0.16405833442605103
root_mean_squared_error
0.17245316403957942
root_mean_squared_error
0.17182588010483302
root_mean_squared_error
0.1639172505925307
root_mean_squared_error
0.16667127300563142
root_mean_squared_error
0.15977268495849922
root_mean_squared_error
0.16055482232538532
root_mean_squared_error
0.1658953454284987
root_mean_squared_error
0.15766604001299703
root_mean_squared_error
0.1710646630210215
root_relative_squared_error
0.5468611147535039
root_relative_squared_error
0.5748438801319317
root_relative_squared_error
0.572752933682777
root_relative_squared_error
0.546390835308436
root_relative_squared_error
0.5555709100187717
root_relative_squared_error
0.5325756165283311
root_relative_squared_error
0.5351827410846179
root_relative_squared_error
0.5529844847616627
root_relative_squared_error
0.5255534667099905
root_relative_squared_error
0.5702155434034053
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
169954.5411120016
usercpu_time_millis
168463.60375199947
usercpu_time_millis
170363.20531900128
usercpu_time_millis
169958.75027500006
usercpu_time_millis
172194.81080300102
usercpu_time_millis
170331.96293999936
usercpu_time_millis
171665.2395279998
usercpu_time_millis
171051.54835299982
usercpu_time_millis
170800.18810599722
usercpu_time_millis
168578.66025199837
usercpu_time_millis_testing
88.09425000072224
usercpu_time_millis_testing
88.15057700121542
usercpu_time_millis_testing
89.4357030010724
usercpu_time_millis_testing
95.29814699999406
usercpu_time_millis_testing
91.1416740018467
usercpu_time_millis_testing
92.8150910003751
usercpu_time_millis_testing
87.83544999823789
usercpu_time_millis_testing
85.83162400100264
usercpu_time_millis_testing
87.59848899717326
usercpu_time_millis_testing
90.88189199974295
usercpu_time_millis_training
169866.44686200088
usercpu_time_millis_training
168375.45317499826
usercpu_time_millis_training
170273.7696160002
usercpu_time_millis_training
169863.45212800006
usercpu_time_millis_training
172103.66912899917
usercpu_time_millis_training
170239.14784899898
usercpu_time_millis_training
171577.40407800156
usercpu_time_millis_training
170965.7167289988
usercpu_time_millis_training
170712.58961700005
usercpu_time_millis_training
168487.77835999863