DEVELOPMENT... OpenML
Run
95486

Run 95486

Task 3756 (Supervised Classification) visualizing_hamster 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
0.6818
Per class
Build CPU time
0.0033
Build memory
896696704
F measure
0.6701
Per class
Kappa
0.3328
KB relative information score
14.8544
Mean absolute error
0.4051
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.67
Per class
Predictive accuracy
0.6712
Prior entropy
0.9937
Recall
0.6712
Per class
Relative absolute error
0.8176
Root mean prior squared error
0.4977
Root mean squared error
0.4848
Root relative squared error
0.9741
SciMark benchmark
940.7816