10330425
8323
Heinrich Peters
14970
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8186034
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
10.452693667466372
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5864644897807998
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
3.116722283916533e-05
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
18363
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
21582547
description
https://api.openml.org/data/download/21582547/description.xml
-1
21582548
predictions
https://api.openml.org/data/download/21582548/predictions.arff
area_under_roc_curve
0.9758707942243532 [0.99355,0.987429,0.984725,0.941912,0.952109,0.998965]
average_cost
0
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0.9600286058615224 [0.989829,0.97426,0.977127,0.908627,0.919781,0.99641]
kappa
0.9519911906458378
kb_relative_information_score
0.9563157861805394
mean_absolute_error
0.013302262355568455
mean_prior_absolute_error
0.27709458719152297
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9600145434901434 [0.990692,0.968031,0.98204,0.916428,0.916189,0.993354]
predictive_accuracy
0.9600932129332945
prior_entropy
2.575922879508845
recall
0.9600932129332945 [0.988966,0.98057,0.972262,0.900957,0.9234,0.999486]
relative_absolute_error
0.048006215099301676
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.11533543408496998
root_relative_squared_error
0.30985894860250685
total_cost
0
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area_under_roc_curve
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area_under_roc_curve
0.9718655334570316 [0.998252,0.977217,0.976886,0.943319,0.938109,1]
area_under_roc_curve
0.9740651705508642 [0.997093,0.989751,0.994204,0.917115,0.95235,1]
area_under_roc_curve
0.973742426734446 [0.988439,0.985516,0.970506,0.946253,0.953383,0.998804]
area_under_roc_curve
0.9789016890062489 [0.984966,0.987977,0.994204,0.948601,0.962124,0.999402]
area_under_roc_curve
0.9776312604361332 [0.997669,0.989118,0.985253,0.946253,0.952193,0.998802]
area_under_roc_curve
0.9777053780150647 [0.993603,0.993329,0.981707,0.951073,0.950368,0.999401]
area_under_roc_curve
0.9770079891882436 [0.995928,0.991794,0.988799,0.933644,0.956667,0.999401]
area_under_roc_curve
0.973623720894803 [0.994759,0.972312,0.986474,0.947064,0.944526,0.9994]
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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0
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0
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f_measure
0.9581582729937267 [0.994186,0.984127,0.985507,0.895184,0.908616,0.992288]
f_measure
0.953372578298196 [0.991354,0.96129,0.967509,0.9,0.904762,1]
f_measure
0.9571792292414135 [0.997085,0.987013,0.982456,0.88563,0.901266,1]
f_measure
0.9563319919539368 [0.988304,0.95,0.963768,0.912676,0.928382,0.994872]
f_measure
0.9649970381091452 [0.982456,0.977346,0.982456,0.923077,0.932292,0.997429]
f_measure
0.9630205290841057 [0.988506,0.983713,0.982079,0.912676,0.923483,0.994898]
f_measure
0.963086548162494 [0.991254,0.977636,0.978417,0.91573,0.923483,0.997442]
f_measure
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f_measure
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.9473877366444045
kb_relative_information_score
0.9626572418832231
kb_relative_information_score
0.9546003243344426
kb_relative_information_score
0.9487943533372125
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.9596250746557322
kb_relative_information_score
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kb_relative_information_score
0.9586279051625993
kb_relative_information_score
0.9520336042135413
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.015533980582524282
mean_absolute_error
0.014239482200647257
mean_absolute_error
0.014563106796116514
mean_absolute_error
0.011650485436893208
mean_absolute_error
0.01229773462783172
mean_absolute_error
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mean_absolute_error
0.012621359223300975
mean_absolute_error
0.014577259475218667
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.27709513558158777
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
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precision
0.9660504501611455 [1,0.962264,0.971429,0.942197,0.937824,0.984772]
precision
0.9582221629503183 [0.994186,0.96875,1,0.902857,0.90625,0.989744]
precision
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precision
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precision
0.9569575809082056 [1,0.915663,0.985185,0.915254,0.935829,0.989796]
precision
0.9651281151712545 [0.994083,0.974194,0.972222,0.936416,0.92268,0.994872]
precision
0.9630267794143605 [0.977273,0.986928,0.992754,0.915254,0.925926,0.989848]
precision
0.9632330683434963 [0.994152,0.962264,0.992701,0.910615,0.930851,0.994898]
precision
0.9623133903316547 [0.988439,0.980645,0.992806,0.928571,0.899497,0.994898]
precision
0.9563109422964216 [0.977143,0.979866,0.964789,0.9,0.925134,0.994898]
predictive_accuracy
0.9660194174757281
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
2.575945945073779
prior_entropy
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prior_entropy
2.575847838744184
prior_entropy
2.5755594010061413
recall
0.9660194174757282 [0.976744,0.987097,0.971429,0.91573,0.947644,1]
recall
0.958252427184466 [0.994186,1,0.971429,0.88764,0.910995,0.994845]
recall
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recall
0.9572815533980582 [0.994186,0.980645,0.992908,0.848315,0.936842,1]
recall
0.9563106796116505 [0.976879,0.987013,0.943262,0.910112,0.921053,1]
recall
0.9650485436893204 [0.971098,0.980519,0.992908,0.910112,0.942105,1]
recall
0.9631067961165048 [1,0.980519,0.971631,0.910112,0.921053,1]
recall
0.9631067961165048 [0.988372,0.993506,0.964539,0.920904,0.91623,1]
recall
0.962135922330097 [0.994186,0.987013,0.978723,0.881356,0.937173,1]
recall
0.956268221574344 [0.994186,0.948052,0.978571,0.915254,0.905759,1]
relative_absolute_error
0.04087761841164008
relative_absolute_error
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root_relative_squared_error
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