Benchopt
Dataset:
adult[scaled=True]
adult[scaled=False]
ijcnn1[scaled=True]
ijcnn1[scaled=False]
madelon[scaled=True]
madelon[scaled=False]
news20[scaled=True]
news20[scaled=False]
rcv1[scaled=True]
rcv1[scaled=False]
Objective:
L2 Logistic Regression[fit_intercept=True,lmbd=10]
L2 Logistic Regression[fit_intercept=False,lmbd=10]
L2 Logistic Regression[fit_intercept=True,lmbd=1]
L2 Logistic Regression[fit_intercept=False,lmbd=1]
L2 Logistic Regression[fit_intercept=True,lmbd=0.1]
L2 Logistic Regression[fit_intercept=False,lmbd=0.1]
Objective metrics
objective_Train loss
objective_Train error
objective_Test loss
objective_Test error
objective_value
Chart type
objective_curve
suboptimality_curve
relative_suboptimality_curve
bar_chart
Scale
semilog-y
semilog-x
loglog
linear
X-axis
Quantiles
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Dataset:
adult[scaled=True]
adult[scaled=False]
ijcnn1[scaled=True]
ijcnn1[scaled=False]
madelon[scaled=True]
madelon[scaled=False]
news20[scaled=True]
news20[scaled=False]
rcv1[scaled=True]
rcv1[scaled=False]
Objective:
L2 Logistic Regression[fit_intercept=True,lmbd=10]
L2 Logistic Regression[fit_intercept=False,lmbd=10]
L2 Logistic Regression[fit_intercept=True,lmbd=1]
L2 Logistic Regression[fit_intercept=False,lmbd=1]
L2 Logistic Regression[fit_intercept=True,lmbd=0.1]
L2 Logistic Regression[fit_intercept=False,lmbd=0.1]
Objective column
objective_Train loss
objective_Train error
objective_Test loss
objective_Test error
objective_value
Chart type
objective_curve
suboptimality_curve
relative_suboptimality_curve
bar_chart
Scale
semilog-y
semilog-x
loglog
linear
X-axis
Quantiles
Save as view
Result on logreg l2 benchmark
CPU : 10
RAM (GB) : 187
CUDA : Tesla V100-SXM2-16GB: cuda_11.4
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System information
CPU
: 10
RAM (GB)
: 187
CUDA
: Tesla V100-SXM2-16GB: cuda_11.4
platform
: Linux4.18.0-305.40.2.el8_4.x86_64-x86_64
processor
: Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz
numpy
: 1.21.6 blas=NO_ATLAS_INFO lapack=lapack
scipy
: 1.8.0
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