Run
10363988

Run 10363988

Task 168338 (Supervised Classification) riccardo Uploaded 23-08-2019 by Pieter Gijsbers
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Flow

automlbenchmark_autoweka(1)Auto-WEKA 2.6 as set up by the AutoML BenchmarkSource: source: https://github.com/openml/automlbenchmark/releases/tag/v0.9
automlbenchmark_autoweka(1)_time4
automlbenchmark_autoweka(1)_memory32
automlbenchmark_autoweka(1)_cores8

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

Area under ROC curve
0.998 ± 0.0005
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9937 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9831 ± 0.0062
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.8252 ± 0.0305
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0796 ± 0.0126
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.375
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9937 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9937 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8113
Cross-validation details (10-fold Crossvalidation)
Recall
0.9937 ± 0.0023
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2124 ± 0.0336
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.433
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1368 ± 0.0141
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.316 ± 0.0325
Cross-validation details (10-fold Crossvalidation)