DEVELOPMENT... OpenML
Run
121467

Run 121467

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.8239
Per class
Build CPU time
5.5197
Build memory
98576111.2
F measure
0.8103
Per class
Kappa
0.6135
KB relative information score
60.4205
Mean absolute error
0.1929
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8107
Per class
Predictive accuracy
0.81
Prior entropy
0.9864
Recall
0.81
Per class
Relative absolute error
0.3933
Root mean prior squared error
0.4951
Root mean squared error
0.4365
Root relative squared error
0.8817
SciMark benchmark
931.6517