Run
503407

Run 503407

Task 10050 (Learning Curve) gina_agnostic 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
0.9108 ± 0.0138
Per class
F measure
0.8446 ± 0.0195
Per class
Kappa
0.689 ± 0.039
KB relative information score
1495.3382 ± 6.6096
Mean absolute error
0.3077 ± 0.0093
Mean prior absolute error
0.4999 ± 0
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8446 ± 0.0196
Per class
Predictive accuracy
0.8446 ± 0.0195
Prior entropy
0.9998
Recall
0.8446 ± 0.0195
Per class
Relative absolute error
0.6157 ± 0.0185
Root mean prior squared error
0.4999 ± 0
Root mean squared error
0.3588 ± 0.0094
Root relative squared error
0.7177 ± 0.0187
SciMark benchmark
1674.9818
UserCPU time millis
24470
UserCPU time millis training
24470