From b370025347c4733e6682b5b905ef4182ba0b9326 Mon Sep 17 00:00:00 2001 From: Quynh Nguyen Date: Wed, 11 Nov 2020 09:19:46 -0600 Subject: [PATCH] [ML] Update trianing % to be 50% --- .../apps/ml/data_frame_analytics/feature_importance.ts | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/x-pack/test/functional/apps/ml/data_frame_analytics/feature_importance.ts b/x-pack/test/functional/apps/ml/data_frame_analytics/feature_importance.ts index 9cb69eb4daf93..d8cc365c272f7 100644 --- a/x-pack/test/functional/apps/ml/data_frame_analytics/feature_importance.ts +++ b/x-pack/test/functional/apps/ml/data_frame_analytics/feature_importance.ts @@ -29,7 +29,7 @@ export default function ({ getService }: FtrProviderContext) { job: { id: `bm_fi_binary_${timestamp}`, description: - "Classification job based on 'ft_bank_marketing' dataset with dependentVariable 'y' and trainingPercent '15'", + "Classification job based on 'ft_bank_marketing' dataset with dependentVariable 'y' and trainingPercent '50'", source: { index: ['ft_bank_marketing'], query: { @@ -46,7 +46,7 @@ export default function ({ getService }: FtrProviderContext) { classification: { prediction_field_name: 'test', dependent_variable: 'y', - training_percent: 15, + training_percent: 50, num_top_feature_importance_values: 5, }, }, @@ -75,7 +75,7 @@ export default function ({ getService }: FtrProviderContext) { job: { id: `bm_fi_multi_${timestamp}`, description: - "Classification job based on 'ft_bank_marketing' dataset with dependentVariable 'y' and trainingPercent '15'", + "Classification job based on 'ft_bank_marketing' dataset with dependentVariable 'y' and trainingPercent '50'", source: { index: ['ft_bank_marketing'], query: { @@ -92,7 +92,7 @@ export default function ({ getService }: FtrProviderContext) { classification: { prediction_field_name: 'test', dependent_variable: 'y', - training_percent: 15, + training_percent: 50, num_top_feature_importance_values: 5, num_top_classes: 5, }, @@ -152,7 +152,7 @@ export default function ({ getService }: FtrProviderContext) { prediction_field_name: 'test', dependent_variable: 'stab', num_top_feature_importance_values: 5, - training_percent: 15, + training_percent: 50, }, }, analyzed_fields: {