Run
168984

Run 168984

Task 9 (Supervised Classification) autos 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
0.8962
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7991
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7385
Cross-validation details (10-fold Crossvalidation)
KB relative information score
148.6216
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0677
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.803
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3064
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2311
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6965
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1054.3694
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)