Run
201052

Run 201052

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 27-02-2015 by Jan van Rijn
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K3
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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
0.8324
Per class
Cross-validation details (33% Holdout set)
F measure
0.724
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3226
Cross-validation details (33% Holdout set)
KB relative information score
4.9618
Cross-validation details (33% Holdout set)
Mean absolute error
0.1721
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7734
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7083
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.7083
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7652
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.3
Cross-validation details (33% Holdout set)
Root relative squared error
0.9693
Cross-validation details (33% Holdout set)
SciMark benchmark
1335.643
UserCPU time millis
10
UserCPU time millis testing
10