Run
170132

Run 170132

Task 3756 (Supervised Classification) visualizing_hamster 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
0.5754
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5818
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1695
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8.8806
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4414
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4955
Cross-validation details (10-fold Crossvalidation)
Number of instances
73
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6021
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6027
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9937
Cross-validation details (10-fold Crossvalidation)
Recall
0.6027
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8908
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5314
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0676
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1501.4698
UserCPU time millis training