DEVELOPMENT... OpenML
Run
108629

Run 108629

Task 3481 (Supervised Classification) isolet 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
0.7232
Per class
Build CPU time
1.9123
Build memory
863591875.8148
F measure
0.0144
Per class
Kappa
0.0399
KB relative information score
1445.1678
Mean absolute error
0.0715
Mean prior absolute error
0.074
Number of instances
7797
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.009
Per class
Predictive accuracy
0.0768
Prior entropy
4.7004
Recall
0.0768
Per class
Relative absolute error
0.9663
Root mean prior squared error
0.1923
Root mean squared error
0.1891
Root relative squared error
0.9831
SciMark benchmark
916.8903