DEVELOPMENT... OpenML
Run
123460

Run 123460

Task 20 (Supervised Classification) mfeat-pixel Uploaded 20-12-2014 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
0.9825
Per class
Build CPU time
60962.0626
Build memory
1141929260
F measure
0.966
Per class
Kappa
0.9622
KB relative information score
1929.6236
Mean absolute error
0.0068
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9662
Per class
Predictive accuracy
0.966
Prior entropy
3.3219
Recall
0.966
Per class
Relative absolute error
0.0375
Root mean prior squared error
0.3
Root mean squared error
0.082
Root relative squared error
0.2732
SciMark benchmark
945.0532