Run
503432

Run 503432

Task 10082 (Learning Curve) pc3 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
0.7795 ± 0.0261
Per class
F measure
0.8495 ± 0.009
Per class
Kappa
0.006 ± 0.0257
KB relative information score
-1401.5383 ± 12.1513
Mean absolute error
0.2118 ± 0.0076
Mean prior absolute error
0.1842 ± 0.0023
Number of instances
1563
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8265 ± 0.0271
Per class
Predictive accuracy
0.8957 ± 0.0051
Prior entropy
0.478
Recall
0.8957 ± 0.0051
Per class
Relative absolute error
1.1497 ± 0.0411
Root mean prior squared error
0.3031 ± 0.0038
Root mean squared error
0.3045 ± 0.0061
Root relative squared error
1.0044 ± 0.0251
SciMark benchmark
1695.8489
UserCPU time millis
130
UserCPU time millis training
130