DEVELOPMENT... OpenML
Run
117118

Run 117118

Task 3544 (Supervised Classification) analcatdata_broadwaymult Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I80
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.736
Per class
Build CPU time
0.8446
Build memory
1472398023.2702
F measure
0.4883
Per class
Kappa
0.3625
KB relative information score
49.0964
Mean absolute error
0.2062
Mean prior absolute error
0.2203
Number of instances
285
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4875
Per class
Predictive accuracy
0.5228
Prior entropy
2.4897
Recall
0.5228
Per class
Relative absolute error
0.936
Root mean prior squared error
0.3314
Root mean squared error
0.3263
Root relative squared error
0.9844
SciMark benchmark
931.9671