Run
10363330

Run 10363330

Task 168338 (Supervised Classification) riccardo Uploaded 22-08-2019 by Pieter Gijsbers
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Flow

automlbenchmark_autosklearn(1)Auto-sklearn as set up by the AutoML BenchmarkSource: source: https://github.com/openml/automlbenchmark/releases/tag/v0.9
automlbenchmark_autosklearn(1)_time4
automlbenchmark_autosklearn(1)_memory32
automlbenchmark_autosklearn(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
0.9994 ± 0.0002
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9961 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9895 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5939 ± 0.1443
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1894 ± 0.0667
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
0.9961 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9961 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8113
Cross-validation details (10-fold Crossvalidation)
Recall
0.9961 ± 0.0013
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.505 ± 0.1778
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.433
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2157 ± 0.0545
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4981 ± 0.1259
Cross-validation details (10-fold Crossvalidation)