Run
477836

Run 477836

Task 10048 (Learning Curve) cal_housing Uploaded 30-11-2015 by Jan van Rijn
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Flow

weka.J48(33)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(33)_C0.25
weka.J48(33)_M1

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
0.9026 ± 0.0113
Per class
F measure
0.8762 ± 0.0102
Per class
Kappa
0.7431 ± 0.0211
KB relative information score
14107.6852 ± 35.982
Mean absolute error
0.1591 ± 0.0079
Mean prior absolute error
0.4824 ± 0
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_36, amd64, Linux, 3.5.0-54-generic]
Precision
0.8762 ± 0.0102
Per class
Predictive accuracy
0.8765 ± 0.0102
Prior entropy
0.9745
Recall
0.8765 ± 0.0102
Per class
Relative absolute error
0.3299 ± 0.0163
Root mean prior squared error
0.4911 ± 0
Root mean squared error
0.3208 ± 0.0129
Root relative squared error
0.6533 ± 0.0261
SciMark benchmark
1692.1465
UserCPU time millis
410
UserCPU time millis testing
10
UserCPU time millis training
400