DEVELOPMENT... OpenML
Run
95428

Run 95428

Task 3737 (Supervised Classification) fri_c3_250_50 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
0.9187
Per class
Build CPU time
0.0411
Build memory
26564186.4
F measure
0.8566
Per class
Kappa
0.7098
KB relative information score
120.7375
Mean absolute error
0.2725
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8599
Per class
Predictive accuracy
0.856
Prior entropy
0.9868
Recall
0.856
Per class
Relative absolute error
0.5552
Root mean prior squared error
0.4954
Root mean squared error
0.3446
Root relative squared error
0.6957
SciMark benchmark
933.4176