Run
503420

Run 503420

Task 10069 (Learning Curve) mozilla4 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
0.9581 ± 0.0064
Per class
F measure
0.9415 ± 0.0058
Per class
Kappa
0.865 ± 0.0136
KB relative information score
10154.0837 ± 13.5099
Mean absolute error
0.1716 ± 0.0036
Mean prior absolute error
0.4412 ± 0.0001
Number of instances
15545
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9467 ± 0.0049
Per class
Predictive accuracy
0.9429 ± 0.0055
Prior entropy
0.9135
Recall
0.9429 ± 0.0055
Per class
Relative absolute error
0.3888 ± 0.008
Root mean prior squared error
0.4697 ± 0.0001
Root mean squared error
0.2464 ± 0.0056
Root relative squared error
0.5247 ± 0.0119
SciMark benchmark
1674.9818
UserCPU time millis
350
UserCPU time millis testing
10
UserCPU time millis training
340