Run
169189

Run 169189

Task 1912 (Supervised Classification) pendigits Uploaded 20-02-2015 by Jan van Rijn
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Flow

weka.J48(28)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(28)_C0.25
weka.J48(28)_M2

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.9842
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9649
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.961
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
105702.7246
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0081
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
109920
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9649
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9649
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.3208
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9649
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0448
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.0819
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2731
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1066.833
UserCPU time millis
420
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
400
Cross-validation details (10 times 10-fold Crossvalidation)