10396603
8323
Heinrich Peters
3904
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8232183
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
0.19056746772632044
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.3565163593285343
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.015503770572916192
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
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.
1053
jm1
https://www.openml.org/data/download/53936/jm1.arff
-1
21714938
description
https://api.openml.org/data/download/21714938/description.xml
-1
21714939
predictions
https://api.openml.org/data/download/21714939/predictions.arff
area_under_roc_curve
0.5622810877680453 [0.562281,0.562281]
average_cost
0
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0.7387501084294961 [0.847752,0.284368]
kappa
0.13407072385727953
kb_relative_information_score
0.05063172532880531
mean_absolute_error
0.2510794671566376
mean_prior_absolute_error
0.31212214303703906
number_of_instances
10885 [8779,2106]
precision
0.7304131639738858 [0.82959,0.316988]
predictive_accuracy
0.7489205328433625
prior_entropy
0.7086892261862012
recall
0.7489205328433625 [0.866727,0.257835]
relative_absolute_error
0.8044269615528122
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0.3950238150239175
root_mean_squared_error
0.5010783044162236
root_relative_squared_error
1.2684761914566716
total_cost
0
area_under_roc_curve
0.5381144134126461 [0.538114,0.538114]
area_under_roc_curve
0.5761208692742014 [0.576121,0.576121]
area_under_roc_curve
0.5831381100951105 [0.583138,0.583138]
area_under_roc_curve
0.5477766142352827 [0.547777,0.547777]
area_under_roc_curve
0.5493932785628691 [0.549393,0.549393]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.530160538019308 [0.530161,0.530161]
area_under_roc_curve
0.5831109664822649 [0.583111,0.583111]
area_under_roc_curve
0.5824952579614908 [0.582495,0.582495]
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
0.7271863597699307 [0.845475,0.234973]
f_measure
0.7461296917457213 [0.850921,0.310078]
f_measure
0.7512868817538492 [0.854434,0.322078]
f_measure
0.7297607429710619 [0.843159,0.257895]
f_measure
0.7330323332505697 [0.847176,0.258065]
f_measure
0.7441978688638576 [0.852222,0.292553]
f_measure
0.742274544569601 [0.851111,0.287234]
f_measure
0.7172812592373632 [0.834171,0.228571]
f_measure
0.7448156965883957 [0.845198,0.325123]
f_measure
0.7503832907088213 [0.853631,0.321244]
kappa
0.08477506573339275
kappa
0.1624790089033934
kappa
0.17814172572628154
kappa
0.10336873945261646
kappa
0.1085578023881411
kappa
0.14721482284717466
kappa
0.14080290422196545
kappa
0.06440442411257183
kappa
0.1705471219338467
kappa
0.17641960256328768
kb_relative_information_score
0.028590319196429154
kb_relative_information_score
0.073691482948023
kb_relative_information_score
0.09450740467952785
kb_relative_information_score
0.021651678619261608
kb_relative_information_score
0.042467600350766604
kb_relative_information_score
0.07432122709771771
kb_relative_information_score
0.06736123632401597
kb_relative_information_score
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kb_relative_information_score
0.04648126400291242
kb_relative_information_score
0.0906727537593637
mean_absolute_error
0.2571166207529844
mean_absolute_error
0.24517906336088155
mean_absolute_error
0.2396694214876033
mean_absolute_error
0.25895316804407714
mean_absolute_error
0.2534435261707989
mean_absolute_error
0.24448529411764705
mean_absolute_error
0.24632352941176472
mean_absolute_error
0.27297794117647056
mean_absolute_error
0.25183823529411764
mean_absolute_error
0.24080882352941177
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
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mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
mean_prior_absolute_error
0.312292830692591
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
0.3118386270187333
mean_prior_absolute_error
0.3124019844228689
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1089 [878,211]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [878,210]
number_of_instances
1088 [877,211]
precision
0.7149754720019779 [0.820128,0.277419]
precision
0.7389535602967844 [0.834611,0.340909]
precision
0.7439936130927445 [0.837158,0.356322]
precision
0.7204528622284779 [0.823913,0.289941]
precision
0.7223959227588096 [0.824353,0.298137]
precision
0.7352713937285444 [0.831887,0.331325]
precision
0.7332333993367883 [0.830803,0.325301]
precision
0.7087901069518716 [0.818182,0.251429]
precision
0.7417043891547649 [0.838565,0.336735]
precision
0.7432255722661463 [0.836802,0.354286]
predictive_accuracy
0.7428833792470156
predictive_accuracy
0.7548209366391184
predictive_accuracy
0.7603305785123967
predictive_accuracy
0.7410468319559229
predictive_accuracy
0.7465564738292011
predictive_accuracy
0.7555147058823529
predictive_accuracy
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predictive_accuracy
0.7270220588235294
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
0.7096292997655923
recall
0.7428833792470156 [0.872437,0.203791]
recall
0.7548209366391184 [0.867882,0.28436]
recall
0.7603305785123967 [0.872437,0.293839]
recall
0.7410468319559229 [0.863326,0.232227]
recall
0.7465564738292011 [0.871298,0.227488]
recall
0.7555147058823529 [0.873576,0.261905]
recall
0.7536764705882353 [0.872437,0.257143]
recall
0.7270220588235294 [0.850797,0.209524]
recall
0.7481617647058824 [0.851936,0.314286]
recall
0.7591911764705882 [0.871152,0.293839]
relative_absolute_error
0.8233189989752921
relative_absolute_error
0.7850934740228678
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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total_cost
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