DEVELOPMENT... OpenML
Run
119615

Run 119615

Task 1819 (Supervised Classification) vote Uploaded 10-12-2014 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)_I10
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
0.9742
Per class
Build CPU time
1.3924
Build memory
1375114520.3494
F measure
0.9509
Per class
Kappa
0.8968
KB relative information score
1946.765
Mean absolute error
0.0485
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9513
Per class
Predictive accuracy
0.9508
Prior entropy
0.9627
Recall
0.9508
Per class
Relative absolute error
0.1022
Root mean prior squared error
0.4869
Root mean squared error
0.2133
Root relative squared error
0.4381
SciMark benchmark
874.7324