Run
503397

Run 503397

Task 7535 (Learning Curve) monks-problems-2 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
0.6655 ± 0.0436
Per class
F measure
0.6282 ± 0.0322
Per class
Kappa
0.1705 ± 0.076
KB relative information score
23.3005 ± 3.3885
Mean absolute error
0.4205 ± 0.0214
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.6856 ± 0.0805
Per class
Predictive accuracy
0.6905 ± 0.0277
Prior entropy
0.9279
Recall
0.6905 ± 0.0277
Per class
Relative absolute error
0.9331 ± 0.0488
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4473 ± 0.0127
Root relative squared error
0.9424 ± 0.0284
SciMark benchmark
1317.3998