6102635
1
Jan van Rijn
5
Supervised Classification
predictive_accuracy
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
4136808
class_weight
null
6941
criterion
"gini"
6941
max_depth
2
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
63605
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
algorithm
"SAMME"
6971
learning_rate
0.02870793322795248
6971
n_estimators
243
6971
random_state
56064
6971
openml-pimp
openml-python
Sklearn_0.18.1.
5
arrhythmia
https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff
-1
13128999
description
https://www.openml.org/data/download/13128999/description.xml
-1
13129000
predictions
https://www.openml.org/data/download/13129000/predictions.arff
area_under_roc_curve
0.8428133701820456 [0.866913,0.868121,0.942029,0.932571,0.927282,0.925433,0.157387,0.027778,0.983697,0.876791,0.0,0.0,0.0,0.334263,0.826846,0.379968]
average_cost
0
kappa
0.5471790319033695
kb_relative_information_score
-40.12852068856867
mean_absolute_error
0.1152891995037075
mean_prior_absolute_error
0.08554099538612797
number_of_instances
452 [245,44,15,15,13,25,3,2,9,50,0,0,0,4,5,22]
predictive_accuracy
0.7278761061946902
prior_entropy
2.522211812343187
recall
0.7278761061946902 [0.942857,0.431818,0.866667,0.4,0.307692,0.8,0,0,0.888889,0.54,0.0,0.0,0.0,0,0.2,0]
relative_absolute_error
1.3477654659417693
root_mean_prior_squared_error
0.20549825255273738
root_mean_squared_error
0.23999379054435008
root_relative_squared_error
1.167862926147073
total_cost
0
area_under_roc_curve
0.8390958730671177 [0.864762,0.912195,0.977778,0.977273,0.977273,1,0.0,0.133333,0.0,0.912195,0.0,0.0,0.0,0.0,0.0,0.27907]
area_under_roc_curve
0.8395408983028283 [0.791429,0.878049,1,1,1,0.988636,0.0,0.133333,1,0.941463,0.0,0.0,0.0,0.0,1,0.8125]
area_under_roc_curve
0.8250311252055437 [0.817,0.855,0.977273,0.976744,1,0.965116,0.0,0.0,0.818182,0.9875,0.0,0.0,0.0,0.0,0.181818,0.313953]
area_under_roc_curve
0.8658010335917312 [0.91,0.865,1,1,1,0.511628,0.0,0.0,1,0.94,0.0,0.0,0.0,0.0,1,0.081395]
area_under_roc_curve
0.9161890601992697 [0.964,0.939024,1,0.953488,0.909091,0.976744,0.0,0.0,1,0.86,0.0,0.0,0.0,0.0,0.977273,0.162791]
area_under_roc_curve
0.8798119255379608 [0.891865,0.844512,1,0.977273,1,0.801587,0.5,0.0,1,0.855,0.0,0.0,0.0,0.0,0.977273,0.837209]
area_under_roc_curve
0.8149150364351726 [0.84127,0.865854,0.686047,1,0.954545,0.984127,0.113636,0.0,1,0.78,0.0,0.0,0.0,0.840909,0.0,0.44186]
area_under_roc_curve
0.8305920384734905 [0.837302,0.902439,1,0.954545,0.75,0.97619,0.568182,0.0,1,0.965,0.0,0.0,0.0,0.25,0.0,0.197674]
area_under_roc_curve
0.9044190002556424 [0.90873,0.97561,1,0.840909,1,1,0.0,0.0,1,0.97,0.0,0.0,0.0,0.272727,0.0,0.511628]
area_under_roc_curve
0.8782260917796937 [0.986111,0.804878,1,0.954545,0.988372,0.992063,0.0,0.0,1,0.715,0.0,0.0,0.0,0.318182,0.0,0.277778]
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
kappa
0.501547987616099
kappa
0.5932475884244374
kappa
0.49828473413379076
kappa
0.5673076923076922
kappa
0.669657422512235
kappa
0.4988066825775656
kappa
0.519704433497537
kappa
0.4902912621359223
kappa
0.5925925925925926
kappa
0.5412064570943075
kb_relative_information_score
-4.585630969176997
kb_relative_information_score
-3.6232120831244066
kb_relative_information_score
-5.055061409656359
kb_relative_information_score
-5.04683129934229
kb_relative_information_score
-4.5609961033550945
kb_relative_information_score
-3.2043530952440484
kb_relative_information_score
-3.112295486267009
kb_relative_information_score
-3.109691925141176
kb_relative_information_score
-3.807949686123183
kb_relative_information_score
-4.022498631138121
mean_absolute_error
0.11529309123911427
mean_absolute_error
0.11528911955861401
mean_absolute_error
0.11529170025902183
mean_absolute_error
0.1152889354536436
mean_absolute_error
0.11528308033831279
mean_absolute_error
0.1152901124481546
mean_absolute_error
0.11529754391226973
mean_absolute_error
0.11528865647209366
mean_absolute_error
0.11528172068208528
mean_absolute_error
0.11528794996731373
mean_prior_absolute_error
0.08534234485321444
mean_prior_absolute_error
0.08546427907840952
mean_prior_absolute_error
0.08460351377018045
mean_prior_absolute_error
0.08460351377018045
mean_prior_absolute_error
0.08477564102564104
mean_prior_absolute_error
0.08615265906932575
mean_prior_absolute_error
0.08615859449192784
mean_prior_absolute_error
0.08615859449192784
mean_prior_absolute_error
0.08609924026590694
mean_prior_absolute_error
0.08605769230769232
number_of_instances
46 [25,5,1,2,2,2,0,1,0,5,0,0,0,0,0,3]
number_of_instances
46 [25,5,1,2,1,2,0,1,1,5,0,0,0,0,1,2]
number_of_instances
45 [25,5,1,2,1,2,0,0,1,5,0,0,0,0,1,2]
number_of_instances
45 [25,5,1,2,1,2,0,0,1,5,0,0,0,0,1,2]
number_of_instances
45 [25,4,2,2,1,2,0,0,1,5,0,0,0,0,1,2]
number_of_instances
45 [24,4,2,1,1,3,1,0,1,5,0,0,0,0,1,2]
number_of_instances
45 [24,4,2,1,1,3,1,0,1,5,0,0,0,1,0,2]
number_of_instances
45 [24,4,2,1,1,3,1,0,1,5,0,0,0,1,0,2]
number_of_instances
45 [24,4,2,1,2,3,0,0,1,5,0,0,0,1,0,2]
number_of_instances
45 [24,4,1,1,2,3,0,0,1,5,0,0,0,1,0,3]
predictive_accuracy
0.6956521739130435
predictive_accuracy
0.7608695652173912
predictive_accuracy
0.7111111111111111
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.8
predictive_accuracy
0.6888888888888889
predictive_accuracy
0.7111111111111111
predictive_accuracy
0.6888888888888889
predictive_accuracy
0.7555555555555555
predictive_accuracy
0.7333333333333333
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
prior_entropy
2.522211812343187
recall
0.6956521739130435 [0.92,0.4,1,1,0.5,0.5,0.0,0,0.0,0.4,0.0,0.0,0.0,0.0,0.0,0]
recall
0.7608695652173914 [0.96,0.6,1,0,1,1,0.0,0,1,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.7111111111111111 [0.96,0.2,1,0.5,0,1,0.0,0.0,0,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.7333333333333333 [0.92,0.2,1,1,0,0.5,0.0,0.0,1,0.6,0.0,0.0,0.0,0.0,1,0]
recall
0.8 [0.96,0.75,1,0,0,1,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0]
recall
0.6888888888888889 [0.875,0.25,1,0,1,0.666667,0,0.0,1,0.6,0.0,0.0,0.0,0.0,0,0]
recall
0.7111111111111111 [0.958333,0.75,0,1,0,1,0,0.0,1,0.2,0.0,0.0,0.0,0,0.0,0]
recall
0.6888888888888889 [0.916667,0.25,1,0,0,0.666667,0,0.0,1,0.6,0.0,0.0,0.0,0,0.0,0]
recall
0.7555555555555555 [0.958333,0.5,1,0,0,1,0.0,0.0,1,0.6,0.0,0.0,0.0,0,0.0,0]
recall
0.7333333333333333 [1,0.5,1,0,0.5,0.666667,0.0,0.0,1,0.4,0.0,0.0,0.0,0,0.0,0]
relative_absolute_error
1.3509482477592332
relative_absolute_error
1.3489743411143922
relative_absolute_error
1.3627294555661564
relative_absolute_error
1.3626967760088307
relative_absolute_error
1.359860909850797
relative_absolute_error
1.3382072439038981
relative_absolute_error
1.338201308786112
relative_absolute_error
1.338098156683545
relative_absolute_error
1.338940045534105
relative_absolute_error
1.3396588599553771
root_mean_prior_squared_error
0.20501434405747065
root_mean_prior_squared_error
0.2053115084317244
root_mean_prior_squared_error
0.20320445414970847
root_mean_prior_squared_error
0.20320445414970847
root_mean_prior_squared_error
0.20362754588154708
root_mean_prior_squared_error
0.20698114765704212
root_mean_prior_squared_error
0.20699548523585812
root_mean_prior_squared_error
0.20699548523585812
root_mean_prior_squared_error
0.20685206472744588
root_mean_prior_squared_error
0.20675161117580884
root_mean_squared_error
0.24000188937374559
root_mean_squared_error
0.2399936161895486
root_mean_squared_error
0.2399990046680258
root_mean_squared_error
0.23999323493460079
root_mean_squared_error
0.23998104382925434
root_mean_squared_error
0.2399956847455428
root_mean_squared_error
0.2400111650029247
root_mean_squared_error
0.2399926891336409
root_mean_squared_error
0.23997822242959493
root_mean_squared_error
0.23999117734355424
root_relative_squared_error
1.170659011578561
root_relative_squared_error
1.1689243239346105
root_relative_squared_error
1.1810715747953504
root_relative_squared_error
1.1810431810603355
root_relative_squared_error
1.178529372292561
root_relative_squared_error
1.1595050441173713
root_relative_squared_error
1.1594995162790498
root_relative_squared_error
1.1594102589251383
root_relative_squared_error
1.1601441965096988
root_relative_squared_error
1.1607705302933795
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
2388.6738019991753
usercpu_time_millis
2198.4952919992793
usercpu_time_millis
2181.071926000186
usercpu_time_millis
2302.6914759993815
usercpu_time_millis
2239.814993999971
usercpu_time_millis
2181.937051999739
usercpu_time_millis
2191.802488000576
usercpu_time_millis
2218.039862000296
usercpu_time_millis
2200.1321389989243
usercpu_time_millis
2184.4545740004833
usercpu_time_millis_testing
35.82766899944545
usercpu_time_millis_testing
35.841178999362455
usercpu_time_millis_testing
35.59146499992494
usercpu_time_millis_testing
44.15149799933715
usercpu_time_millis_testing
35.52149600000121
usercpu_time_millis_testing
35.6658470000184
usercpu_time_millis_testing
36.08244299994112
usercpu_time_millis_testing
35.991108000416716
usercpu_time_millis_testing
35.82548999929713
usercpu_time_millis_testing
35.461396000755485
usercpu_time_millis_training
2352.84613299973
usercpu_time_millis_training
2162.654112999917
usercpu_time_millis_training
2145.480461000261
usercpu_time_millis_training
2258.5399780000444
usercpu_time_millis_training
2204.29349799997
usercpu_time_millis_training
2146.271204999721
usercpu_time_millis_training
2155.720045000635
usercpu_time_millis_training
2182.0487539998794
usercpu_time_millis_training
2164.306648999627
usercpu_time_millis_training
2148.993177999728