OpenML
8099

Run 8099

Task 28 (Supervised Classification) optdigits Uploaded 22-05-2014 by Joaquin Vanschoren
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Flow

weka.ClassificationViaRegression_M5P(1)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.ClassificationViaRegression_M5P(1)_Wweka.classifiers.trees.M5P
weka.M5P(1)_M4.0

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.

19 Evaluation measures

Area under ROC curve
0.9951
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9535
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9484
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5188.3303
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.024
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
5620
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9536
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9536
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3218
Cross-validation details (10-fold Crossvalidation)
Recall
0.9536
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1334
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0944
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3147
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
898.2984[565.02776169467961014.9881711071126483.8854846559526902.07848974213451525.512136793484]