DEVELOPMENT... OpenML
Run
119789

Run 119789

Task 3641 (Supervised Classification) fri_c2_100_25 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
0.8074
Per class
Build CPU time
0.5839
Build memory
698053742.4
F measure
0.7592
Per class
Kappa
0.5076
KB relative information score
52.3835
Mean absolute error
0.2302
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
0.759
Per class
Predictive accuracy
0.76
Prior entropy
0.9864
Recall
0.76
Per class
Relative absolute error
0.4695
Root mean prior squared error
0.4951
Root mean squared error
0.4598
Root relative squared error
0.9288
SciMark benchmark
939.6298