8913026
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)
6850190
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
0.5122614044196322
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
6
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
18741716
description
https://api.openml.org/data/download/18741716/description.xml
-1
18741717
predictions
https://api.openml.org/data/download/18741717/predictions.arff
area_under_roc_curve
0.9828777777777776 [0.999989,0.977594,0.996253,0.993135,0.979067,0.994844,0.947561,0.992558,0.999083,0.948693]
average_cost
0
f_measure
0.8332684469206175 [0.990099,0.815,0.949749,0.902564,0.818898,0.919315,0.541463,0.892086,0.964467,0.539043]
kappa
0.8144444444444444
kb_relative_information_score
1618.9528079323236
mean_absolute_error
0.05468235666666666
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8345896322156118 [0.980392,0.815,0.954545,0.926316,0.861878,0.899522,0.528571,0.857143,0.979381,0.543147]
predictive_accuracy
0.833
prior_entropy
3.321928094887362
recall
0.833 [1,0.815,0.945,0.88,0.78,0.94,0.555,0.93,0.95,0.535]
relative_absolute_error
0.30379087037036095
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15401413039104922
root_relative_squared_error
0.5133804346368228
total_cost
0
area_under_roc_curve
0.9841111111111112 [1,0.982778,0.994444,0.996389,0.984167,1,0.934444,0.993611,1,0.955278]
area_under_roc_curve
0.9820277777777778 [0.999722,0.975,0.995833,0.988611,0.982222,0.990833,0.95,0.990556,0.9975,0.95]
area_under_roc_curve
0.977638888888889 [1,0.981944,1,0.978889,0.988611,0.995278,0.905833,0.991944,1,0.933889]
area_under_roc_curve
0.9907777777777779 [1,0.984722,0.998889,0.998056,0.989722,0.997778,0.980556,0.995556,0.999722,0.962778]
area_under_roc_curve
0.9851944444444445 [1,0.975,1,0.996944,0.988611,0.995278,0.957222,0.991111,1,0.947778]
area_under_roc_curve
0.9868055555555556 [1,0.984167,1,0.993333,0.993333,0.995,0.956389,0.994722,1,0.951111]
area_under_roc_curve
0.9830833333333334 [1,0.975,0.986944,0.999167,0.986944,0.9925,0.963889,0.988333,1,0.938056]
area_under_roc_curve
0.983138888888889 [1,0.971667,0.998056,0.991667,0.950556,0.998611,0.9575,0.9975,0.997778,0.968056]
area_under_roc_curve
0.98125 [1,0.969444,1,0.997778,0.981111,0.987222,0.942222,0.995278,1,0.939444]
area_under_roc_curve
0.9753055555555556 [1,0.98,0.991111,0.992778,0.942222,0.998056,0.9225,0.991667,0.994444,0.940278]
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
0.8174477397563047 [1,0.772727,0.926829,0.888889,0.829268,1,0.4,0.871795,0.926829,0.55814]
f_measure
0.8047845701481848 [0.97561,0.8,0.894737,0.871795,0.742857,0.818182,0.536585,0.883721,0.974359,0.55]
f_measure
0.8023141000398666 [1,0.731707,0.947368,0.777778,0.809524,0.926829,0.4,0.871795,1,0.55814]
f_measure
0.8656632852974316 [1,0.871795,0.95,0.904762,0.818182,0.923077,0.666667,0.864865,0.974359,0.682927]
f_measure
0.8322802769172593 [0.97561,0.769231,0.974359,0.926829,0.8,0.930233,0.55,0.883721,1,0.512821]
f_measure
0.8523151922959369 [1,0.878049,1,0.894737,0.871795,0.904762,0.619048,0.904762,0.95,0.5]
f_measure
0.8520074576685616 [1,0.878049,0.947368,0.97561,0.857143,0.904762,0.636364,0.863636,1,0.457143]
f_measure
0.8563718376940457 [1,0.731707,0.97561,0.894737,0.810811,0.923077,0.681818,0.909091,0.918919,0.717949]
f_measure
0.8554262555802992 [1,0.888889,0.97561,0.952381,0.842105,0.923077,0.486486,0.952381,1,0.533333]
f_measure
0.7866439234860286 [0.952381,0.842105,0.904762,0.918919,0.8,0.95,0.416667,0.909091,0.894737,0.277778]
kappa
0.7999999999999999
kappa
0.7833333333333334
kappa
0.7777777777777778
kappa
0.85
kappa
0.8166666666666667
kappa
0.8388888888888889
kappa
0.8388888888888889
kappa
0.8388888888888889
kappa
0.8388888888888889
kappa
0.7611111111111112
kb_relative_information_score
161.8470642095549
kb_relative_information_score
159.37903403812422
kb_relative_information_score
157.3627588515245
kb_relative_information_score
165.83359906482758
kb_relative_information_score
161.32979185768778
kb_relative_information_score
164.77033865044757
kb_relative_information_score
163.01866563143983
kb_relative_information_score
162.59024267729836
kb_relative_information_score
165.35112335492965
kb_relative_information_score
157.47018959649063
mean_absolute_error
0.055245866666666636
mean_absolute_error
0.057080566666666624
mean_absolute_error
0.058200966666666645
mean_absolute_error
0.05113216666666669
mean_absolute_error
0.05679206666666668
mean_absolute_error
0.05200543333333334
mean_absolute_error
0.053978366666666645
mean_absolute_error
0.05395403333333336
mean_absolute_error
0.050512233333333316
mean_absolute_error
0.057921866666666676
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
0.8210523591587665 [1,0.708333,0.904762,1,0.809524,1,0.466667,0.894737,0.904762,0.521739]
precision
0.810812538592859 [0.952381,0.8,0.944444,0.894737,0.866667,0.75,0.52381,0.826087,1,0.55]
precision
0.8083250864314937 [1,0.714286,1,0.875,0.772727,0.904762,0.4,0.894737,1,0.521739]
precision
0.8697795290364951 [1,0.894737,0.95,0.863636,0.75,0.947368,0.684211,0.941176,1,0.666667]
precision
0.8351917838073443 [0.952381,0.789474,1,0.904762,0.933333,0.869565,0.55,0.826087,1,0.526316]
precision
0.8527005961874383 [1,0.857143,1,0.944444,0.894737,0.863636,0.590909,0.863636,0.95,0.5625]
precision
0.8581493506493506 [1,0.857143,1,0.952381,1,0.863636,0.583333,0.791667,1,0.533333]
precision
0.8636007911936703 [1,0.714286,0.952381,0.944444,0.882353,0.947368,0.625,0.833333,1,0.736842]
precision
0.8616231845210173 [1,1,0.952381,0.909091,0.888889,0.947368,0.529412,0.909091,1,0.48]
precision
0.799237012987013 [0.909091,0.888889,0.863636,1,0.933333,0.95,0.357143,0.833333,0.944444,0.3125]
predictive_accuracy
0.82
predictive_accuracy
0.805
predictive_accuracy
0.8
predictive_accuracy
0.865
predictive_accuracy
0.835
predictive_accuracy
0.855
predictive_accuracy
0.855
predictive_accuracy
0.855
predictive_accuracy
0.855
predictive_accuracy
0.785
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
0.82 [1,0.85,0.95,0.8,0.85,1,0.35,0.85,0.95,0.6]
recall
0.805 [1,0.8,0.85,0.85,0.65,0.9,0.55,0.95,0.95,0.55]
recall
0.8 [1,0.75,0.9,0.7,0.85,0.95,0.4,0.85,1,0.6]
recall
0.865 [1,0.85,0.95,0.95,0.9,0.9,0.65,0.8,0.95,0.7]
recall
0.835 [1,0.75,0.95,0.95,0.7,1,0.55,0.95,1,0.5]
recall
0.855 [1,0.9,1,0.85,0.85,0.95,0.65,0.95,0.95,0.45]
recall
0.855 [1,0.9,0.9,1,0.75,0.95,0.7,0.95,1,0.4]
recall
0.855 [1,0.75,1,0.85,0.75,0.9,0.75,1,0.85,0.7]
recall
0.855 [1,0.8,1,1,0.8,0.9,0.45,1,1,0.6]
recall
0.785 [1,0.8,0.95,0.85,0.7,0.95,0.5,1,0.85,0.25]
relative_absolute_error
0.30692148148148163
relative_absolute_error
0.31711425925925935
relative_absolute_error
0.32333870370370393
relative_absolute_error
0.284067592592593
relative_absolute_error
0.31551148148148195
relative_absolute_error
0.28891907407407447
relative_absolute_error
0.29987981481481507
relative_absolute_error
0.2997446296296301
relative_absolute_error
0.28062351851851874
relative_absolute_error
0.32178814814814855
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
0.15384989701726232
root_mean_squared_error
0.16208733025063302
root_mean_squared_error
0.1666207853513814
root_mean_squared_error
0.14263568834622004
root_mean_squared_error
0.1559696335900749
root_mean_squared_error
0.14612363601492476
root_mean_squared_error
0.1513480703213622
root_mean_squared_error
0.15073108325756837
root_mean_squared_error
0.14561591131390064
root_mean_squared_error
0.16323378748830703
root_relative_squared_error
0.5128329900575413
root_relative_squared_error
0.5402911008354437
root_relative_squared_error
0.5554026178379383
root_relative_squared_error
0.4754522944874004
root_relative_squared_error
0.5198987786335834
root_relative_squared_error
0.48707878671641613
root_relative_squared_error
0.5044935677378742
root_relative_squared_error
0.5024369441918949
root_relative_squared_error
0.4853863710463358
root_relative_squared_error
0.5441126249610237
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
45460.22349699888
usercpu_time_millis
45297.72103200048
usercpu_time_millis
45327.942979
usercpu_time_millis
45461.95417600029
usercpu_time_millis
45535.92965000098
usercpu_time_millis
45517.07937399806
usercpu_time_millis
45782.780805000584
usercpu_time_millis
45477.7870580001
usercpu_time_millis
45977.79465500025
usercpu_time_millis
45969.06996399957
usercpu_time_millis_testing
99.54725399984454
usercpu_time_millis_testing
99.51421100049629
usercpu_time_millis_testing
99.1271710008732
usercpu_time_millis_testing
98.62760900068679
usercpu_time_millis_testing
97.90078900005028
usercpu_time_millis_testing
103.4508429984271
usercpu_time_millis_testing
98.58860100030142
usercpu_time_millis_testing
101.56728400033899
usercpu_time_millis_testing
97.43828700084123
usercpu_time_millis_testing
99.73264600012044
usercpu_time_millis_training
45360.676242999034
usercpu_time_millis_training
45198.206820999985
usercpu_time_millis_training
45228.815807999126
usercpu_time_millis_training
45363.3265669996
usercpu_time_millis_training
45438.02886100093
usercpu_time_millis_training
45413.62853099963
usercpu_time_millis_training
45684.19220400028
usercpu_time_millis_training
45376.219773999765
usercpu_time_millis_training
45880.35636799941
usercpu_time_millis_training
45869.33731799945