DEVELOPMENT... OpenML
Run
10950

Run 10950

Task 13 (Supervised Classification) breast-cancer Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I160
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.626
Per class
F measure
0.6637
Per class
Kappa
0.1677
KB relative information score
27.0286
Mean absolute error
0.3673
Mean prior absolute error
0.4183
Number of instances
286
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6562
Per class
Predictive accuracy
0.6818
Prior entropy
0.8796
Recall
0.6818
Per class
Relative absolute error
0.878
Root mean prior squared error
0.457
Root mean squared error
0.4639
Root relative squared error
1.015
SciMark benchmark
879.2553[563.2033275840267855.6638223932451484.7593072718849911.48820099582031581.1619395961168]