DEVELOPMENT... OpenML
Run
122268

Run 122268

Task 3916 (Supervised Classification) kc1-binary Uploaded 14-12-2014 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)_I160
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
0.7365
Per class
Build CPU time
69.3135
Build memory
58541604.1379
F measure
0.7451
Per class
Kappa
0.4753
KB relative information score
67.6719
Mean absolute error
0.2554
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7455
Per class
Predictive accuracy
0.7448
Prior entropy
0.979
Recall
0.7448
Per class
Relative absolute error
0.5263
Root mean prior squared error
0.4925
Root mean squared error
0.5052
Root relative squared error
1.0257
SciMark benchmark
937.5757

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