Run
488598

Run 488598

Task 10080 (Learning Curve) pc1 Uploaded 02-12-2015 by Joaquin Vanschoren
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Flow

weka.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

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
0.7692 ± 0.1405
Per class
F measure
0.9171 ± 0.0096
Per class
Kappa
0.2489 ± 0.1228
KB relative information score
-402.8696 ± 24.9551
Mean absolute error
0.101 ± 0.0114
Mean prior absolute error
0.1299 ± 0.0037
Number of instances
1109
Per class
OS information
[Oracle Corporation, 1.8.0_45, amd64, Linux, 2.6.32-504.8.1.el6.x86_64]
Precision
0.9154 ± 0.0195
Per class
Predictive accuracy
0.9333 ± 0.0086
Prior entropy
0.3667
Recall
0.9333 ± 0.0086
Per class
Relative absolute error
0.7773 ± 0.0836
Root mean prior squared error
0.2542 ± 0.0073
Root mean squared error
0.2427 ± 0.0136
Root relative squared error
0.9548 ± 0.0571
SciMark benchmark
1099.9946
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20