DEVELOPMENT... OpenML
Run
144196

Run 144196

Task 3494 (Supervised Classification) monks-problems-3 Uploaded 31-01-2015 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.

22 Evaluation measures

Area under ROC curve
0.989
Per class
F measure
0.9819
Per class
Kappa
0.9638
KB relative information score
532.0861
Mean absolute error
0.0201
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.982
Per class
Predictive accuracy
0.9819
Prior entropy
0.9989
Recall
0.9819
Per class
Relative absolute error
0.0402
Root mean prior squared error
0.4996
Root mean squared error
0.1271
Root relative squared error
0.2545
SciMark benchmark
915.2795
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40