Run
227433

Run 227433

Task 4229 (Supervised Classification) fbis.wc 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
0.7421
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5402
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4739
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
12021.7547
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0561
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1047
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
24630
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5811
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5235
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.5848
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5235
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5352
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2288
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2368
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0348
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
938.343
UserCPU time millis
1967150
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
1966660
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
490
Cross-validation details (10 times 10-fold Crossvalidation)