8913766
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)
6850891
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
0.9531472293221335
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
12
7684
min_samples_split
20
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
18743192
description
https://api.openml.org/data/download/18743192/description.xml
-1
18743193
predictions
https://api.openml.org/data/download/18743193/predictions.arff
area_under_roc_curve
0.9773547222222221 [0.999733,0.964817,0.99095,0.982483,0.972353,0.987028,0.942703,0.987856,0.997014,0.948611]
average_cost
0
f_measure
0.7906599518450715 [0.970149,0.697561,0.908189,0.844086,0.748718,0.86783,0.523691,0.863636,0.943299,0.53944]
kappa
0.7677777777777778
kb_relative_information_score
1545.1979706018365
mean_absolute_error
0.06375519212545747
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7931341919829972 [0.965347,0.680952,0.901478,0.912791,0.768421,0.865672,0.522388,0.791667,0.973404,0.549223]
predictive_accuracy
0.7909999999999999
prior_entropy
3.321928094887362
recall
0.791 [0.975,0.715,0.915,0.785,0.73,0.87,0.525,0.95,0.915,0.53]
relative_absolute_error
0.3541955118080861
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16756530391611235
root_relative_squared_error
0.5585510130536993
total_cost
0
area_under_roc_curve
0.9778888888888889 [1,0.963333,0.99,0.992222,0.958889,1,0.931667,0.993056,0.996667,0.953056]
area_under_roc_curve
0.9774444444444444 [0.999722,0.981111,0.982222,0.978611,0.959444,0.981944,0.953611,0.990556,0.999167,0.948056]
area_under_roc_curve
0.9719444444444444 [1,0.965556,0.996389,0.965833,0.9775,0.988611,0.909444,0.970833,1,0.945278]
area_under_roc_curve
0.9819722222222222 [0.998611,0.960278,0.994722,0.9925,0.981944,0.990278,0.967778,0.995,0.999444,0.939167]
area_under_roc_curve
0.98 [1,0.965,0.995556,0.992778,0.982222,0.990278,0.958333,0.983889,0.999167,0.932778]
area_under_roc_curve
0.9779444444444444 [1,0.954444,0.999444,0.983333,0.983333,0.97,0.943056,0.991667,0.999167,0.955]
area_under_roc_curve
0.9830000000000001 [1,0.978333,0.984167,0.99,0.990556,0.982222,0.975278,0.9875,1,0.941944]
area_under_roc_curve
0.9795 [0.999722,0.967222,0.999444,0.976944,0.967222,0.988889,0.949167,0.9925,0.981111,0.972778]
area_under_roc_curve
0.980111111111111 [0.999722,0.958889,0.999167,0.995833,0.985278,0.980556,0.935833,0.994167,1,0.951667]
area_under_roc_curve
0.9721111111111109 [1,0.959722,0.980833,0.969167,0.957222,0.995278,0.911667,0.993611,0.997222,0.956389]
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
0.7946134620869671 [0.97561,0.727273,0.9,0.857143,0.790698,0.974359,0.421053,0.9,0.9,0.5]
f_measure
0.7802657839756684 [0.974359,0.727273,0.864865,0.820513,0.666667,0.829268,0.486486,0.863636,0.947368,0.622222]
f_measure
0.7791954149271223 [1,0.666667,0.918919,0.666667,0.755556,0.829268,0.55,0.829268,0.97561,0.6]
f_measure
0.8041075492982699 [0.95,0.702703,0.926829,0.926829,0.734694,0.8,0.619048,0.878049,0.947368,0.555556]
f_measure
0.7463494842477809 [0.97561,0.594595,0.878049,0.9,0.647059,0.809524,0.486486,0.77551,0.97561,0.421053]
f_measure
0.8073782823174624 [1,0.652174,0.926829,0.777778,0.705882,0.863636,0.648649,0.909091,0.974359,0.615385]
f_measure
0.8147217110375005 [0.974359,0.736842,0.9,0.894737,0.894737,0.863636,0.564103,0.844444,0.974359,0.5]
f_measure
0.8004915654915653 [0.95,0.714286,0.952381,0.864865,0.685714,0.871795,0.545455,0.888889,0.864865,0.666667]
f_measure
0.8118058967514078 [0.95,0.722222,0.926829,0.871795,0.85,0.923077,0.486486,0.851064,1,0.536585]
f_measure
0.7577136071882993 [0.952381,0.727273,0.883721,0.823529,0.722222,0.918919,0.44,0.909091,0.857143,0.342857]
kappa
0.7722222222222223
kappa
0.7555555555555555
kappa
0.7555555555555555
kappa
0.7833333333333334
kappa
0.7277777777777777
kappa
0.788888888888889
kappa
0.7944444444444444
kappa
0.7777777777777778
kappa
0.7944444444444444
kappa
0.7277777777777777
kb_relative_information_score
155.72820913889245
kb_relative_information_score
152.11590892975192
kb_relative_information_score
151.1406795510929
kb_relative_information_score
154.4495800984928
kb_relative_information_score
154.541735650036
kb_relative_information_score
156.4473793891196
kb_relative_information_score
156.5768041407446
kb_relative_information_score
153.68198333103214
kb_relative_information_score
158.12095299846166
kb_relative_information_score
152.39473737421017
mean_absolute_error
0.06289888840311268
mean_absolute_error
0.06592458505173754
mean_absolute_error
0.06711851231132587
mean_absolute_error
0.06304903730025913
mean_absolute_error
0.06338458412922797
mean_absolute_error
0.06195148435313959
mean_absolute_error
0.062421566270481094
mean_absolute_error
0.06469480401939
mean_absolute_error
0.06034396846890493
mean_absolute_error
0.06576449094699557
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
0.8002622498274673 [0.952381,0.666667,0.9,1,0.73913,1,0.444444,0.9,0.9,0.5]
precision
0.7890550641309154 [1,0.666667,0.941176,0.842105,0.75,0.809524,0.529412,0.791667,1,0.56]
precision
0.7883946053946054 [1,0.636364,1,0.846154,0.68,0.809524,0.55,0.809524,0.952381,0.6]
precision
0.8151304628434446 [0.95,0.764706,0.904762,0.904762,0.62069,0.933333,0.590909,0.857143,1,0.625]
precision
0.7496433766819162 [0.952381,0.647059,0.857143,0.9,0.785714,0.772727,0.529412,0.655172,0.952381,0.444444]
precision
0.8176289139137435 [1,0.576923,0.904762,0.875,0.857143,0.791667,0.705882,0.833333,1,0.631579]
precision
0.8197280701754386 [1,0.777778,0.9,0.944444,0.944444,0.791667,0.578947,0.76,1,0.5]
precision
0.8102209400506613 [0.95,0.681818,0.909091,0.941176,0.8,0.894737,0.5,0.8,0.941176,0.684211]
precision
0.8153329197175947 [0.95,0.8125,0.904762,0.894737,0.85,0.947368,0.529412,0.740741,1,0.52381]
precision
0.7814344532279314 [0.909091,0.666667,0.826087,1,0.8125,1,0.366667,0.833333,1,0.4]
predictive_accuracy
0.795
predictive_accuracy
0.78
predictive_accuracy
0.78
predictive_accuracy
0.805
predictive_accuracy
0.755
predictive_accuracy
0.81
predictive_accuracy
0.815
predictive_accuracy
0.8
predictive_accuracy
0.815
predictive_accuracy
0.755
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
0.78 [0.95,0.8,0.8,0.8,0.6,0.85,0.45,0.95,0.9,0.7]
recall
0.78 [1,0.7,0.85,0.55,0.85,0.85,0.55,0.85,1,0.6]
recall
0.805 [0.95,0.65,0.95,0.95,0.9,0.7,0.65,0.9,0.9,0.5]
recall
0.755 [1,0.55,0.9,0.9,0.55,0.85,0.45,0.95,1,0.4]
recall
0.81 [1,0.75,0.95,0.7,0.6,0.95,0.6,1,0.95,0.6]
recall
0.815 [0.95,0.7,0.9,0.85,0.85,0.95,0.55,0.95,0.95,0.5]
recall
0.8 [0.95,0.75,1,0.8,0.6,0.85,0.6,1,0.8,0.65]
recall
0.815 [0.95,0.65,0.95,0.85,0.85,0.9,0.45,1,1,0.55]
recall
0.755 [1,0.8,0.95,0.7,0.65,0.85,0.55,1,0.75,0.3]
relative_absolute_error
0.34943826890618196
relative_absolute_error
0.36624769473187563
relative_absolute_error
0.37288062395181076
relative_absolute_error
0.35027242944588444
relative_absolute_error
0.35213657849571134
relative_absolute_error
0.34417491307299813
relative_absolute_error
0.34678647928045087
relative_absolute_error
0.35941557788550044
relative_absolute_error
0.33524426927169443
relative_absolute_error
0.36535828303886475
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
0.16640543980663436
root_mean_squared_error
0.17477844152337327
root_mean_squared_error
0.17354187655726502
root_mean_squared_error
0.16651184200092997
root_mean_squared_error
0.16782800520580965
root_mean_squared_error
0.16227264661073623
root_mean_squared_error
0.16287011057773548
root_mean_squared_error
0.16856749604739446
root_mean_squared_error
0.1594334618526586
root_mean_squared_error
0.1727446286569386
root_relative_squared_error
0.5546847993554482
root_relative_squared_error
0.5825948050779113
root_relative_squared_error
0.5784729218575504
root_relative_squared_error
0.5550394733364336
root_relative_squared_error
0.5594266840193658
root_relative_squared_error
0.5409088220357877
root_relative_squared_error
0.5429003685924519
root_relative_squared_error
0.5618916534913151
root_relative_squared_error
0.5314448728421958
root_relative_squared_error
0.5758154288564623
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
163247.1655909976
usercpu_time_millis
163095.81777999847
usercpu_time_millis
163549.94042100225
usercpu_time_millis
162686.29384700034
usercpu_time_millis
162134.77707600032
usercpu_time_millis
159844.61479799938
usercpu_time_millis
162830.63428700189
usercpu_time_millis
165169.32202099997
usercpu_time_millis
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usercpu_time_millis
161027.5052049983
usercpu_time_millis_testing
86.45267300016712
usercpu_time_millis_testing
89.43108699895674
usercpu_time_millis_testing
86.38250600051833
usercpu_time_millis_testing
85.72337400255492
usercpu_time_millis_testing
86.82792800027528
usercpu_time_millis_testing
98.29665399956866
usercpu_time_millis_testing
87.18267500080401
usercpu_time_millis_testing
85.30964899910032
usercpu_time_millis_testing
87.13236800031154
usercpu_time_millis_testing
82.76512799784541
usercpu_time_millis_training
163160.71291799744
usercpu_time_millis_training
163006.3866929995
usercpu_time_millis_training
163463.55791500173
usercpu_time_millis_training
162600.5704729978
usercpu_time_millis_training
162047.94914800004
usercpu_time_millis_training
159746.31814399982
usercpu_time_millis_training
162743.45161200108
usercpu_time_millis_training
165084.01237200087
usercpu_time_millis_training
162879.1535950004
usercpu_time_millis_training
160944.74007700046