DEVELOPMENT... OpenML
Run
118652

Run 118652

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)_I10
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
0.86
Per class
Build CPU time
0.0365
Build memory
901315872
F measure
0.7885
Per class
Kappa
0.557
KB relative information score
56.7866
Mean absolute error
0.2032
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
0.7884
Per class
Predictive accuracy
0.79
Prior entropy
0.9721
Recall
0.79
Per class
Relative absolute error
0.4229
Root mean prior squared error
0.4899
Root mean squared error
0.4196
Root relative squared error
0.8564
SciMark benchmark
924.2473