DEVELOPMENT... OpenML
Run
95485

Run 95485

Task 3500 (Supervised Classification) squash-unstored Uploaded 08-12-2014 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)_I10
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
0.8117
Per class
Build CPU time
0.0085
Build memory
168018299.3846
F measure
0.7357
Per class
Kappa
0.5381
KB relative information score
24.2671
Mean absolute error
0.2246
Mean prior absolute error
0.3823
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7465
Per class
Predictive accuracy
0.7308
Prior entropy
1.3486
Recall
0.7308
Per class
Relative absolute error
0.5875
Root mean prior squared error
0.4353
Root mean squared error
0.3576
Root relative squared error
0.8215
SciMark benchmark
934.4754