DEVELOPMENT... OpenML
Run
117444

Run 117444

Task 277 (Supervised Classification) tae Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.7365
Per class
Build CPU time
0.078
Build memory
96189128
F measure
0.5746
Per class
Kappa
0.3565
KB relative information score
18.5532
Mean absolute error
0.3134
Mean prior absolute error
0.4445
Number of instances
49
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5797
Per class
Predictive accuracy
0.5714
Prior entropy
1.5845
Recall
0.5714
Per class
Relative absolute error
0.7052
Root mean prior squared error
0.4715
Root mean squared error
0.4479
Root relative squared error
0.95
SciMark benchmark
924.6733