Run
10160795

Run 10160795

Task 9 (Supervised Classification) autos Uploaded 10-04-2019 by Hugo Spee
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  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
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Flow

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

0.8695 ± 0.0353
Per class
Cross-validation details (10-fold Crossvalidation)
0.7958 ± 0.0556
Per class
Cross-validation details (10-fold Crossvalidation)
0.7369 ± 0.0706
Cross-validation details (10-fold Crossvalidation)
155.1302 ± 1.2776
Cross-validation details (10-fold Crossvalidation)
0.0585 ± 0.0159
Cross-validation details (10-fold Crossvalidation)
0.2209 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
205
Per class
Cross-validation details (10-fold Crossvalidation)
0.8037 ± 0.0477
Per class
Cross-validation details (10-fold Crossvalidation)
0.7951 ± 0.0557
Cross-validation details (10-fold Crossvalidation)
2.3268
Cross-validation details (10-fold Crossvalidation)
0.7951 ± 0.0557
Per class
Cross-validation details (10-fold Crossvalidation)
0.265 ± 0.0728
Cross-validation details (10-fold Crossvalidation)
0.3318 ± 0.0017
Cross-validation details (10-fold Crossvalidation)
0.2419 ± 0.0344
Cross-validation details (10-fold Crossvalidation)
0.7293 ± 0.1058
Cross-validation details (10-fold Crossvalidation)