DEVELOPMENT... OpenML
Run
105573

Run 105573

Task 3807 (Supervised Classification) echoMonths 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
0.82
Per class
Build CPU time
0.0339
Build memory
998868437.6
F measure
0.7459
Per class
Kappa
0.4918
KB relative information score
64.7345
Mean absolute error
0.2509
Mean prior absolute error
0.4999
Number of instances
130
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
0.7462
Prior entropy
0.9998
Recall
0.7462
Per class
Relative absolute error
0.5019
Root mean prior squared error
0.4999
Root mean squared error
0.4701
Root relative squared error
0.9404
SciMark benchmark
892.0716