8913147
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)
6850310
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
0.9599437093757148
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
5
7684
min_samples_split
19
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
18741958
description
https://api.openml.org/data/download/18741958/description.xml
-1
18741959
predictions
https://api.openml.org/data/download/18741959/predictions.arff
area_under_roc_curve
0.9787377777777778 [0.999917,0.969,0.993125,0.985244,0.971619,0.992886,0.941164,0.991817,0.99745,0.945156]
average_cost
0
f_measure
0.7958471059608946 [0.97549,0.751843,0.919598,0.869565,0.716578,0.873449,0.512315,0.864608,0.943005,0.53202]
kappa
0.7727777777777778
kb_relative_information_score
1549.8846854167182
mean_absolute_error
0.06302179509495913
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7978416249709959 [0.956731,0.73913,0.924242,0.890052,0.770115,0.866995,0.504854,0.823529,0.978495,0.524272]
predictive_accuracy
0.7955
prior_entropy
3.321928094887362
recall
0.7955 [0.995,0.765,0.915,0.85,0.67,0.88,0.52,0.91,0.91,0.54]
relative_absolute_error
0.35012108386087326
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16482097206131788
root_relative_squared_error
0.5494032402043845
total_cost
0
area_under_roc_curve
0.9792500000000001 [1,0.970833,0.990833,0.995278,0.966389,1,0.927222,0.993056,0.996944,0.951944]
area_under_roc_curve
0.9780555555555556 [0.999444,0.973333,0.987778,0.984722,0.96,0.986667,0.951111,0.990833,0.994444,0.952222]
area_under_roc_curve
0.9754722222222222 [1,0.976389,0.999444,0.970278,0.968889,0.993333,0.913611,0.991944,1,0.940833]
area_under_roc_curve
0.9832777777777777 [1,0.962778,0.993056,0.993611,0.983889,0.994722,0.971389,0.993333,0.996111,0.943889]
area_under_roc_curve
0.9814999999999999 [1,0.963333,0.998056,0.993889,0.983889,0.993889,0.950556,0.990833,0.999722,0.940833]
area_under_roc_curve
0.9819166666666667 [1,0.974167,1,0.985,0.987778,0.9925,0.940556,0.992778,1,0.946389]
area_under_roc_curve
0.9809444444444445 [1,0.976111,0.99,0.994444,0.985833,0.987778,0.961944,0.988056,1,0.925278]
area_under_roc_curve
0.9796944444444446 [1,0.968889,0.9975,0.974444,0.954167,0.9975,0.95,0.996944,0.991389,0.966111]
area_under_roc_curve
0.978638888888889 [1,0.955278,0.999722,0.996111,0.973889,0.986111,0.931111,0.993611,1,0.950556]
area_under_roc_curve
0.9716944444444444 [1,0.974444,0.981667,0.966944,0.960833,0.995833,0.914444,0.993611,0.991944,0.937222]
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
0.7919382967939554 [0.97561,0.772727,0.837209,0.888889,0.714286,0.974359,0.461538,0.810811,0.947368,0.536585]
f_measure
0.7500098047996103 [0.95,0.744186,0.842105,0.85,0.588235,0.780488,0.473684,0.790698,0.947368,0.533333]
f_measure
0.7718059271064017 [1,0.714286,0.947368,0.736842,0.648649,0.809524,0.439024,0.842105,0.97561,0.604651]
f_measure
0.8294281070125716 [0.97561,0.736842,0.926829,0.926829,0.765957,0.894737,0.684211,0.820513,0.947368,0.615385]
f_measure
0.7641336474263302 [0.97561,0.666667,0.918919,0.878049,0.606061,0.844444,0.5,0.844444,0.95,0.457143]
f_measure
0.8025722690600143 [0.952381,0.8,1,0.789474,0.717949,0.878049,0.536585,0.930233,0.947368,0.473684]
f_measure
0.8038614130733347 [0.97561,0.782609,0.894737,0.923077,0.787879,0.857143,0.540541,0.863636,0.974359,0.439024]
f_measure
0.8032806560713537 [1,0.714286,0.95,0.85,0.702703,0.833333,0.533333,0.930233,0.918919,0.6]
f_measure
0.8434533872916414 [1,0.787879,0.97561,0.952381,0.842105,0.923077,0.473684,0.888889,1,0.590909]
f_measure
0.7919528237175296 [0.952381,0.8,0.904762,0.888889,0.764706,0.95,0.488889,0.909091,0.810811,0.45]
kappa
0.7666666666666667
kappa
0.7222222222222222
kappa
0.7444444444444445
kappa
0.8111111111111111
kappa
0.7444444444444445
kappa
0.7833333333333334
kappa
0.7833333333333334
kappa
0.7777777777777778
kappa
0.8277777777777777
kappa
0.7666666666666667
kb_relative_information_score
154.5392018735798
kb_relative_information_score
152.46904694754153
kb_relative_information_score
152.6802043805074
kb_relative_information_score
156.4376908293249
kb_relative_information_score
155.08428946231987
kb_relative_information_score
157.09872507834268
kb_relative_information_score
156.34239404138972
kb_relative_information_score
155.51733452379816
kb_relative_information_score
158.07778319499718
kb_relative_information_score
151.6380150849136
mean_absolute_error
0.06350961837796416
mean_absolute_error
0.06465591623719999
mean_absolute_error
0.0648797987613064
mean_absolute_error
0.06143276649637509
mean_absolute_error
0.06360531251203666
mean_absolute_error
0.061003378138651386
mean_absolute_error
0.06217968657161777
mean_absolute_error
0.06291109670118147
mean_absolute_error
0.05995471742471881
mean_absolute_error
0.06608565972853993
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
0.8004987838696952 [0.952381,0.708333,0.782609,1,0.681818,1,0.473684,0.882353,1,0.52381]
precision
0.7579861973775017 [0.95,0.695652,0.888889,0.85,0.714286,0.761905,0.5,0.73913,1,0.48]
precision
0.7773264246410027 [1,0.681818,1,0.777778,0.705882,0.772727,0.428571,0.888889,0.952381,0.565217]
precision
0.8346700083542187 [0.952381,0.777778,0.904762,0.904762,0.666667,0.944444,0.722222,0.842105,1,0.631579]
precision
0.7724631771737036 [0.952381,0.684211,1,0.857143,0.769231,0.76,0.458333,0.76,0.95,0.533333]
precision
0.8029783946031085 [0.909091,0.8,1,0.833333,0.736842,0.857143,0.52381,0.869565,1,0.5]
precision
0.8163156717723281 [0.952381,0.692308,0.944444,0.947368,1,0.818182,0.588235,0.791667,1,0.428571]
precision
0.8133589281562427 [1,0.681818,0.95,0.85,0.764706,0.9375,0.48,0.869565,1,0.6]
precision
0.8539395838080048 [1,1,0.952381,0.909091,0.888889,0.947368,0.5,0.8,1,0.541667]
precision
0.8056984975808505 [0.909091,0.8,0.863636,1,0.928571,0.95,0.44,0.833333,0.882353,0.45]
predictive_accuracy
0.79
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.83
predictive_accuracy
0.77
predictive_accuracy
0.805
predictive_accuracy
0.805
predictive_accuracy
0.8
predictive_accuracy
0.845
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
0.79 [1,0.85,0.9,0.8,0.75,0.95,0.45,0.75,0.9,0.55]
recall
0.75 [0.95,0.8,0.8,0.85,0.5,0.8,0.45,0.85,0.9,0.6]
recall
0.77 [1,0.75,0.9,0.7,0.6,0.85,0.45,0.8,1,0.65]
recall
0.83 [1,0.7,0.95,0.95,0.9,0.85,0.65,0.8,0.9,0.6]
recall
0.77 [1,0.65,0.85,0.9,0.5,0.95,0.55,0.95,0.95,0.4]
recall
0.805 [1,0.8,1,0.75,0.7,0.9,0.55,1,0.9,0.45]
recall
0.805 [1,0.9,0.85,0.9,0.65,0.9,0.5,0.95,0.95,0.45]
recall
0.8 [1,0.75,0.95,0.85,0.65,0.75,0.6,1,0.85,0.6]
recall
0.845 [1,0.65,1,1,0.8,0.9,0.45,1,1,0.65]
recall
0.79 [1,0.8,0.95,0.8,0.65,0.95,0.55,1,0.75,0.45]
relative_absolute_error
0.3528312132109124
relative_absolute_error
0.3591995346511115
relative_absolute_error
0.3604433264517026
relative_absolute_error
0.3412931472020842
relative_absolute_error
0.3533628472890929
relative_absolute_error
0.3389076563258414
relative_absolute_error
0.3454427031756547
relative_absolute_error
0.3495060927843419
relative_absolute_error
0.33308176347066043
relative_absolute_error
0.36714255404744445
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
0.16557573788523403
root_mean_squared_error
0.17174573408641644
root_mean_squared_error
0.17095723258881068
root_mean_squared_error
0.1606261308357658
root_mean_squared_error
0.16619406960724498
root_mean_squared_error
0.159601147254464
root_mean_squared_error
0.1618305800915889
root_mean_squared_error
0.16161012525806887
root_mean_squared_error
0.1581246199761848
root_mean_squared_error
0.17122242031545265
root_relative_squared_error
0.5519191262841138
root_relative_squared_error
0.5724857802880552
root_relative_squared_error
0.5698574419627026
root_relative_squared_error
0.5354204361192196
root_relative_squared_error
0.5539802320241503
root_relative_squared_error
0.532003824181547
root_relative_squared_error
0.5394352669719633
root_relative_squared_error
0.5387004175268966
root_relative_squared_error
0.527082066587283
root_relative_squared_error
0.5707414010515092
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
42271.83132199934
usercpu_time_millis
42299.69163799797
usercpu_time_millis
41775.71836199968
usercpu_time_millis
42287.545434001004
usercpu_time_millis
42556.881025999246
usercpu_time_millis
42515.110554000785
usercpu_time_millis
42543.44886299987
usercpu_time_millis
42401.755020000564
usercpu_time_millis
42315.98832200143
usercpu_time_millis
42192.04474499929
usercpu_time_millis_testing
88.2680069989874
usercpu_time_millis_testing
89.21616399857157
usercpu_time_millis_testing
90.53709399995569
usercpu_time_millis_testing
93.09053600009065
usercpu_time_millis_testing
93.52220499931718
usercpu_time_millis_testing
92.00687900010962
usercpu_time_millis_testing
88.92555000056745
usercpu_time_millis_testing
89.44586100005836
usercpu_time_millis_testing
90.23632400021597
usercpu_time_millis_testing
87.8397029991902
usercpu_time_millis_training
42183.563315000356
usercpu_time_millis_training
42210.475473999395
usercpu_time_millis_training
41685.181267999724
usercpu_time_millis_training
42194.45489800091
usercpu_time_millis_training
42463.35882099993
usercpu_time_millis_training
42423.103675000675
usercpu_time_millis_training
42454.5233129993
usercpu_time_millis_training
42312.309159000506
usercpu_time_millis_training
42225.751998001215
usercpu_time_millis_training
42104.2050420001