Run
10363300

Run 10363300

Task 168337 (Supervised Classification) guillermo 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
0.9002 ± 0.0104
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.84 ± 0.0139
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6637 ± 0.0294
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.5027 ± 0.0505
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2537 ± 0.0272
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4801 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8451 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.843 ± 0.0126
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.971 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Recall
0.843 ± 0.0126
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5285 ± 0.0566
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4899 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3443 ± 0.0087
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7027 ± 0.0177
Cross-validation details (10-fold Crossvalidation)