Run
477706

Run 477706

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)_M2

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
0.9129 ± 0.0109
Per class
F measure
0.8766 ± 0.009
Per class
Kappa
0.7438 ± 0.0185
KB relative information score
14098.6638 ± 32.44
Mean absolute error
0.1595 ± 0.0072
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
0.8765 ± 0.009
Per class
Predictive accuracy
0.8768 ± 0.009
Prior entropy
0.9745
Recall
0.8768 ± 0.009
Per class
Relative absolute error
0.3307 ± 0.0149
Root mean prior squared error
0.4911 ± 0
Root mean squared error
0.3173 ± 0.0119
Root relative squared error
0.6461 ± 0.0242
SciMark benchmark
1658.7981
UserCPU time millis
400
UserCPU time millis testing
10
UserCPU time millis training
390