How to Win a Data Science Competition

Metrics

ByAdmin July 11, 2021

week – 3 Metrics >>> How to Win a Data Science Competition Learn from Top Kagglers

y_pred = [0, 0, 0, 1]

y_pred = [0.4, 0.5, 0.5, 0.6]

y_pred = [0.5, 0.5, 0.5, 0.5]

Any behavior is possible.

The correlation was also lowered.

The correlation did not change.

The correlation became larger.

0.30, 0.05, 0.25, 0.40

Optimization loss is always different to target metric.

Optimization loss is always the same as target metric.

Optimization loss can different to target metric.

Optimization loss can be the same as target metric.

If the best M1 score is attained at iteration N, then the best M2 score is always attained before N-th iteration.

If the best M1 score is attained at iteration N, then the best M2 score is always attained after N-th iteration.

If the best M1 score is attained at iteration N, then the best M2 score is always attained also at the iteration N.

There is no definite relation between the best iterations for M1 score and M2 score.

How to Win a Data Science Competition

Data leakages
ByAdmin July 11, 2021

Week – 2 Data leakages >>> How to Win a Data Science Competition Learn from Top Kagglers 1. Suppose that you have a credit scoring task, where you have to…

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How to Win a Data Science Competition

Exploratory data analysis
ByAdmin July 10, 2021

Week – 2 Exploratory data analysis >>> How to Win a Data Science Competition Learn from Top Kagglers 1. Suppose we are given a data set with features XX, YY,…

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How to Win a Data Science Competition

Graded quiz of How to Win a Data Science Competition
ByAdmin July 11, 2021

Week – 4 Graded quiz How to Win a Data Science Competition Learn from Top Kagglers 1. Which hyperparameters are first to tune in sklearn’s RandomForest? 1 point n_estimators, max_depth,…

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How to Win a Data Science Competition

Validation
ByAdmin July 10, 2021

Week – 2 Validation >>> How to Win a Data Science Competition: Learn from Top Kagglers 1. Select true statements 1 point Performance increase on a fixed cross-validation split guaranties…

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How to Win a Data Science Competition

Graded Soft/Hard Quiz of How to Win a Data Science Competition
ByAdmin July 10, 2021

Week – 1 Graded Soft/Hard Quiz of How to Win a Data Science Competition Learn from Top Kagglers 1. Which library provides the most convenient way to perform matrix multiplication?…

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How to Win a Data Science Competition

Graded Advanced Features II Quiz
ByAdmin July 11, 2021

Week – 4 Graded Advanced Features II Quiz >>> How to Win a Data Science Competition Learn from Top Kagglers 1. Imagine that we apply X = PCA(n_components=5).fit_transform(data) and data…

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week – 3 Metrics >>> How to Win a Data Science Competition Learn from Top Kagglers

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