Run
503402

Run 503402

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

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_S1

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
0.9005 ± 0.0061
Per class
F measure
0.8273 ± 0.0057
Per class
Kappa
0.6404 ± 0.0116
KB relative information score
7834.6948 ± 9.671
Mean absolute error
0.32 ± 0.0018
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
0.8274 ± 0.0059
Per class
Predictive accuracy
0.8282 ± 0.0058
Prior entropy
0.9745
Recall
0.8282 ± 0.0058
Per class
Relative absolute error
0.6634 ± 0.0038
Root mean prior squared error
0.4911 ± 0
Root mean squared error
0.3668 ± 0.0027
Root relative squared error
0.7468 ± 0.0054
SciMark benchmark
1674.9818
UserCPU time millis
860
UserCPU time millis testing
10
UserCPU time millis training
850