Run
503431

Run 503431

Task 10081 (Learning Curve) pc2 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.

20 Evaluation measures

Area under ROC curve
0.8188 ± 0.1903
Per class
KB relative information score
-97750.9603 ± 2301.6741
Mean absolute error
0.0202 ± 0.0037
Mean prior absolute error
0.0084 ± 0.0009
Number of instances
5589
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.9959 ± 0.0009
Prior entropy
0.0399
Recall
0.9959 ± 0.0009
Per class
Relative absolute error
2.4119 ± 0.5146
Root mean prior squared error
0.064 ± 0.0064
Root mean squared error
0.0748 ± 0.0052
Root relative squared error
1.1685 ± 0.081
SciMark benchmark
1695.8489
UserCPU time millis
510
UserCPU time millis training
510