Run
503435

Run 503435

Task 10085 (Learning Curve) sick 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
0.9872 ± 0.013
Per class
F measure
0.9813 ± 0.0063
Per class
Kappa
0.8379 ± 0.057
KB relative information score
1983.2874 ± 34.8062
Mean absolute error
0.0404 ± 0.0045
Mean prior absolute error
0.1152 ± 0.0007
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.9814 ± 0.0065
Per class
Predictive accuracy
0.9812 ± 0.0062
Prior entropy
0.3333
Recall
0.9812 ± 0.0062
Per class
Relative absolute error
0.3507 ± 0.04
Root mean prior squared error
0.2398 ± 0.0014
Root mean squared error
0.1183 ± 0.0129
Root relative squared error
0.4935 ± 0.0541
SciMark benchmark
1695.8489
UserCPU time millis
110
UserCPU time millis training
110