DEVELOPMENT... OpenML
Run
105445

Run 105445

Task 3653 (Supervised Classification) triazines Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.8438
Per class
Build CPU time
0.3699
Build memory
2285005296.4301
F measure
0.7886
Per class
Kappa
0.562
KB relative information score
100.4717
Mean absolute error
0.2229
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
0.7892
Per class
Predictive accuracy
0.7903
Prior entropy
0.979
Recall
0.7903
Per class
Relative absolute error
0.4592
Root mean prior squared error
0.4925
Root mean squared error
0.4223
Root relative squared error
0.8574
SciMark benchmark
909.8271