Run
503408

Run 503408

Task 10054 (Learning Curve) jm1 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
0.7105 ± 0.0222
Per class
F measure
0.7348 ± 0.0124
Per class
Kappa
0.0506 ± 0.043
KB relative information score
-4501.8167 ± 21.8695
Mean absolute error
0.3605 ± 0.0035
Mean prior absolute error
0.3121 ± 0.0003
Number of instances
10885
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.7789 ± 0.0596
Per class
Predictive accuracy
0.8097 ± 0.0034
Prior entropy
0.7088
Recall
0.8097 ± 0.0034
Per class
Relative absolute error
1.1549 ± 0.0109
Root mean prior squared error
0.395 ± 0.0003
Root mean squared error
0.3946 ± 0.0029
Root relative squared error
0.999 ± 0.0074
SciMark benchmark
1674.9818
UserCPU time millis
660
UserCPU time millis training
660