Run
503434

Run 503434

Task 10084 (Learning Curve) profb 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
0.641 ± 0.0609
Per class
F measure
0.6349 ± 0.0492
Per class
Kappa
0.1548 ± 0.1127
KB relative information score
-15.1625 ± 2.5553
Mean absolute error
0.4442 ± 0.0123
Mean prior absolute error
0.4446 ± 0.0026
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.6384 ± 0.0491
Per class
Predictive accuracy
0.6696 ± 0.0269
Prior entropy
0.9188
Recall
0.6696 ± 0.0269
Per class
Relative absolute error
0.9991 ± 0.0274
Root mean prior squared error
0.4714 ± 0.0027
Root mean squared error
0.4659 ± 0.0138
Root relative squared error
0.9883 ± 0.0284
SciMark benchmark
1695.8489
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10