DEVELOPMENT... OpenML
Run
108432

Run 108432

Task 242 (Supervised Classification) mfeat-factors 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
0.7128
Per class
Build CPU time
0.068
Build memory
59812736
F measure
0.0508
Per class
Kappa
0.0871
KB relative information score
149.7393
Mean absolute error
0.1669
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0299
Per class
Predictive accuracy
0.1682
Prior entropy
3.3219
Recall
0.1682
Per class
Relative absolute error
0.9272
Root mean prior squared error
0.3
Root mean squared error
0.2898
Root relative squared error
0.9661
SciMark benchmark
933.442