Showing Predictor "Feature-duplicates-test"

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Regularization: L2	Tuning Score: avg log-likelihood loss
Time Points: 40	Tune Parameters: true
Feature Selection: false	Include Sibling Features: false
Standardize: true	Run Cross-Validation: true
Objective Function: log-likelihood	Marginal Loss Type: weighted
Use pre-defined Fold: No

Results
Start Time: 2016-10-31 11:27:48 -0600	Used Time: 10 minutes
Label Name: time	C Parameter: 1.0
PSSP model: mtlr_model_file2416.mtlr	Version: 0.0.3

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Cross-validation results

5-Fold Cross-Validation Statistics*
Measure	PSSP Predictor (median)	PSSP Predictor (mean)	K-M Predictor
Concordance Index	0.73 ± 0.01	0.73 ± 0.01	0.5 ± 0.0
Hinged L1 Loss	962.5 ± 14.12		1367.8 ± 14.78
Uncensored L1 loss	2642.63 ± 82.75	2843.45 ± 78.43	4254.05 ± 49.89
Marginal L1 Loss	2131.83 ± 52.75	2281.24 ± 46.11	2685.01 ± 39.54
Marginal L2 Loss	N / A
Hinged L1 Log-Loss	0.35 ± 0.01	0.36 ± 0.01	0.45 ± 0.01
Uncensored L1 Log-Loss	0.98 ± 0.04	1.1 ± 0.04	1.4 ± 0.02
Marginal L1 Log-Loss	0.61 ± 0.01	0.65 ± 0.01	0.73 ± 0.01
Log-Likelihood Loss	1.63 ± 0.02
D-calibration χ² statistics	6.54 ± 1.55		0.68 ± 0.07
D-calibration χ² p-value	0.99 ± 0.01		1.0 ± 0.0

*Mean value ± standard deviation.

Examine Classification Accuracy