Run
170117

Run 170117

Task 3740 (Supervised Classification) fri_c1_100_50 Uploaded 20-02-2015 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.793
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.577
Cross-validation details (10-fold Crossvalidation)
KB relative information score
55.6267
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2198
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7926
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.79
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.99
Cross-validation details (10-fold Crossvalidation)
Recall
0.79
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4459
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4457
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8979
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1501.4698
UserCPU time millis training