DEVELOPMENT... OpenML
Run
116680

Run 116680

Task 3670 (Supervised Classification) fri_c4_500_50 Uploaded 09-12-2014 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)_I160
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
0.9056
Per class
Build CPU time
37.4608
Build memory
1131933211.2
F measure
0.87
Per class
Kappa
0.7392
KB relative information score
370.5237
Mean absolute error
0.1287
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.87
Per class
Predictive accuracy
0.87
Prior entropy
0.9978
Recall
0.87
Per class
Relative absolute error
0.2581
Root mean prior squared error
0.4992
Root mean squared error
0.3552
Root relative squared error
0.7115
SciMark benchmark
937.5625