Run
503514

Run 503514

Task 10048 (Learning Curve) cal_housing Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.AdaBoostM1_J48(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AdaBoostM1_J48(3)_P100
weka.AdaBoostM1_J48(3)_S1
weka.AdaBoostM1_J48(3)_I10
weka.AdaBoostM1_J48(3)_Wweka.classifiers.trees.J48

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
0.9424 ± 0.0046
Per class
F measure
0.8863 ± 0.0044
Per class
Kappa
0.764 ± 0.0091
KB relative information score
15754.5463 ± 19.811
Mean absolute error
0.1123 ± 0.0046
Mean prior absolute error
0.4824 ± 0
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8862 ± 0.0044
Per class
Predictive accuracy
0.8865 ± 0.0043
Prior entropy
0.9745
Recall
0.8865 ± 0.0043
Per class
Relative absolute error
0.2327 ± 0.0096
Root mean prior squared error
0.4911 ± 0
Root mean squared error
0.3197 ± 0.0078
Root relative squared error
0.6509 ± 0.0158
SciMark benchmark
1317.3998
UserCPU time millis
16670
UserCPU time millis testing
150
UserCPU time millis training
16520