DEVELOPMENT... OpenML
Run
122167

Run 122167

Task 3797 (Supervised Classification) socmob Uploaded 13-12-2014 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
0.9333
Per class
Build CPU time
259.6646
Build memory
84416704.0484
F measure
0.95
Per class
Kappa
0.8553
KB relative information score
961.5367
Mean absolute error
0.0504
Mean prior absolute error
0.3451
Number of instances
1156
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9501
Per class
Predictive accuracy
0.9498
Prior entropy
0.7637
Recall
0.9498
Per class
Relative absolute error
0.1462
Root mean prior squared error
0.4152
Root mean squared error
0.2242
Root relative squared error
0.5399
SciMark benchmark
925.7673