DEVELOPMENT... OpenML
Run
119866

Run 119866

Task 3742 (Supervised Classification) fri_c4_100_10 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
0.8669
Per class
Build CPU time
0.44
Build memory
97607820.8
F measure
0.7791
Per class
Kappa
0.5563
KB relative information score
56.4099
Mean absolute error
0.2161
Mean prior absolute error
0.4982
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
0.7808
Per class
Predictive accuracy
0.78
Prior entropy
0.9975
Recall
0.78
Per class
Relative absolute error
0.4337
Root mean prior squared error
0.4991
Root mean squared error
0.4442
Root relative squared error
0.89
SciMark benchmark
942.5053