Run
1031

Run 1031

Task 69 (Learning Curve) lymph Uploaded 09-04-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I10
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
0.9037 ± 0.0694
Per class
F measure
0.8186 ± 0.0969
Per class
Kappa
0.6562 ± 0.1875
KB relative information score
0.6453 ± 0.1441
Mean absolute error
0.1058 ± 0.0358
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8187 ± 0.0938
Per class
Predictive accuracy
0.8189 ± 0.096
Prior entropy
1.2302 ± 0.1357
Recall
0.8189 ± 0.096
Per class
Relative absolute error
0.3951 ± 0.1343
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.2601 ± 0.067
Root relative squared error
0.7146 ± 0.1837
SciMark benchmark
882.7295