DEVELOPMENT... OpenML
Run
116653

Run 116653

Task 3653 (Supervised Classification) triazines 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
0.8422
Per class
Build CPU time
6.6287
Build memory
898907523.3548
F measure
0.7789
Per class
Kappa
0.5431
KB relative information score
103.4527
Mean absolute error
0.2122
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7786
Per class
Predictive accuracy
0.7796
Prior entropy
0.979
Recall
0.7796
Per class
Relative absolute error
0.4372
Root mean prior squared error
0.4925
Root mean squared error
0.4418
Root relative squared error
0.897
SciMark benchmark
939.6298