DEVELOPMENT... OpenML
Run
108461

Run 108461

Task 1765 (Supervised Classification) anneal Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.9115
Per class
Build CPU time
0.0114
Build memory
69034052.8
F measure
0.7624
Per class
Kappa
0.4347
KB relative information score
1056.5532
Mean absolute error
0.1215
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7016
Per class
Predictive accuracy
0.8363
Prior entropy
1.2149
Recall
0.8363
Per class
Relative absolute error
0.9049
Root mean prior squared error
0.2582
Root mean squared error
0.2141
Root relative squared error
0.8293
SciMark benchmark
933.442