Run
225915

Run 225915

Task 252 (Supervised Classification) mfeat-zernike Uploaded 01-03-2015 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
0.8932
Per class
Cross-validation details (33% Holdout set)
F measure
0.8084
Per class
Cross-validation details (33% Holdout set)
Kappa
0.786
Cross-validation details (33% Holdout set)
KB relative information score
527.1888
Cross-validation details (33% Holdout set)
Mean absolute error
0.0385
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.18
Cross-validation details (33% Holdout set)
Number of instances
660
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8106
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8076
Cross-validation details (33% Holdout set)
Prior entropy
3.3219
Cross-validation details (33% Holdout set)
Recall
0.8076
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2138
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.1962
Cross-validation details (33% Holdout set)
Root relative squared error
0.6539
Cross-validation details (33% Holdout set)
SciMark benchmark
929.0363
UserCPU time millis
4930
Cross-validation details (33% Holdout set)
UserCPU time millis testing
4930
Cross-validation details (33% Holdout set)