DEVELOPMENT... OpenML
Run
121520

Run 121520

Task 3701 (Supervised Classification) sleuth_case1102 Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I80
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.4053
Per class
Build CPU time
0.8734
Build memory
720966324
F measure
0.5013
Per class
Kappa
-0.007
KB relative information score
-4.6836
Mean absolute error
0.5623
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5035
Per class
Predictive accuracy
0.5
Prior entropy
0.9911
Recall
0.5
Per class
Relative absolute error
1.1396
Root mean prior squared error
0.4965
Root mean squared error
0.7098
Root relative squared error
1.4294
SciMark benchmark
935.1241