DEVELOPMENT... OpenML
Run
105397

Run 105397

Task 3610 (Supervised Classification) fri_c3_250_5 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.9512
Per class
Build CPU time
0.1062
Build memory
922266386.4
F measure
0.8761
Per class
Kappa
0.7481
KB relative information score
184.9989
Mean absolute error
0.1271
Mean prior absolute error
0.4919
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
0.8762
Per class
Predictive accuracy
0.876
Prior entropy
0.9883
Recall
0.876
Per class
Relative absolute error
0.2583
Root mean prior squared error
0.4959
Root mean squared error
0.3336
Root relative squared error
0.6726
SciMark benchmark
913.4921