DEVELOPMENT... OpenML
Run
117633

Run 117633

Task 3592 (Supervised Classification) fri_c2_100_5 Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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.

21 Evaluation measures

Area under ROC curve
0.8342
Per class
Build CPU time
0.165
Build memory
460835152.8
F measure
0.8373
Per class
Kappa
0.6581
KB relative information score
65.0588
Mean absolute error
0.1644
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8412
Per class
Predictive accuracy
0.84
Prior entropy
0.9721
Recall
0.84
Per class
Relative absolute error
0.3423
Root mean prior squared error
0.4899
Root mean squared error
0.3984
Root relative squared error
0.8132
SciMark benchmark
902.712