Run
503426

Run 503426

Task 10052 (Learning Curve) hiva_agnostic 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
0.7294 ± 0.0571
Per class
F measure
0.9494 ± 0.004
Per class
Kappa
0.0572 ± 0.0803
KB relative information score
-25507.2218 ± 118.6332
Mean absolute error
0.1406 ± 0.0044
Mean prior absolute error
0.0682 ± 0.0007
Number of instances
4229
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9465 ± 0.0143
Per class
Predictive accuracy
0.9643 ± 0.0021
Prior entropy
0.221
Recall
0.9643 ± 0.0021
Per class
Relative absolute error
2.0617 ± 0.0739
Root mean prior squared error
0.1844 ± 0.0018
Root mean squared error
0.2051 ± 0.0055
Root relative squared error
1.1124 ± 0.0285
SciMark benchmark
1317.3998
UserCPU time millis
83340
UserCPU time millis testing
20
UserCPU time millis training
83320