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articles/machine-learning/how-to-select-algorithms.md

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@@ -44,8 +44,8 @@ The following table summarizes some of the most important characteristics of alg
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| **Algorithm** | **Accuracy** | **Training time** | **Linearity** | **Parameters** | **Notes** |
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| --- |:---:|:---:|:---:|:---:| --- |
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| **Classification family** | | | | | |
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| [Two-Class logistic regression](azure/machine-learning/algorithm-module-reference/two-class-logistic-regression?WT.mc_id=docs-article-lazzeri) |Good |Fast |Yes |4 | |
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| [Two-class decision forest](azure/machine-learning/algorithm-module-reference/two-class-decision-forest?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |5 |Shows slower scoring times. Suggest not working with One-vs-All Multiclass, because of slower scoring times caused by tread locking in accumulating tree predictions |
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| [Two-Class logistic regression](/algorithm-module-reference/two-class-logistic-regression?WT.mc_id=docs-article-lazzeri) |Good |Fast |Yes |4 | |
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| [Two-class decision forest](/algorithm-module-reference/two-class-decision-forest?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |5 |Shows slower scoring times. Suggest not working with One-vs-All Multiclass, because of slower scoring times caused by tread locking in accumulating tree predictions |
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| [Two-class boosted decision tree](azure/machine-learning/algorithm-module-reference/two-class-boosted-decision-tree?WT.mc_id=docs-article-lazzeri) |Excellent |Moderate |No |6 |Large memory footprint |
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| [Two-class neural network](azure/machine-learning/algorithm-module-reference/two-class-neural-network?WT.mc_id=docs-article-lazzeri) |Good |Moderate |No |8 | |
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| [Two-class averaged perceptron](azure/machine-learning/algorithm-module-reference/two-class-averaged-perceptron?WT.mc_id=docs-article-lazzeri) |Good |Moderate |Yes |4 | |

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