Run
241476

Run 241476

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

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.5155
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5079
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0122
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.5308
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2432
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
0.5024
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5135
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.3842
Cross-validation details (10-fold Crossvalidation)
Recall
0.5135
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9656
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3504
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4932
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4074
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1419.2433
UserCPU time millis
10
UserCPU time millis testing
10
UserCPU time millis training