Run
234967

Run 234967

Task 2273 (Supervised Classification) meta_batchincremental.arff Uploaded 02-03-2015 by Joaquin Vanschoren
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Flow

weka.J48graft(1)Geoff Webb: Decision Tree Grafting From the All-Tests-But-One Partition. In: , San Francisco, CA, 1999.
weka.J48graft(1)_C0.25
weka.J48graft(1)_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
0.5308
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5868
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.143
Cross-validation details (10-fold Crossvalidation)
KB relative information score
8.0963
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.214
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2519
Cross-validation details (10-fold Crossvalidation)
Number of instances
74
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5671
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6081
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3842
Cross-validation details (10-fold Crossvalidation)
Recall
0.6081
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8495
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3504
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4279
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2211
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1327.9952
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)