Run
444334

Run 444334

Task 71 (Learning Curve) mfeat-factors Uploaded 18-05-2015 by Joaquin Vanschoren
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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
0.956 ± 0.0108
Per class
F measure
0.872 ± 0.023
Per class
Kappa
0.8564 ± 0.0256
KB relative information score
0.8521 ± 0.0231
Mean absolute error
0.0315 ± 0.0046
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8769 ± 0.0217
Per class
Predictive accuracy
0.8708 ± 0.0231
Prior entropy
3.3219
Recall
0.8708 ± 0.0231
Per class
Relative absolute error
0.1752 ± 0.0254
Root mean prior squared error
0.3
Root mean squared error
0.1462 ± 0.0126
Root relative squared error
0.4873 ± 0.0419
SciMark benchmark
852.171
UserCPU time millis
884010
UserCPU time millis testing
1430
UserCPU time millis training
882580