Subsequently, the Extreme Gradient Boosting (XGBoost) algorithm, machine learning algorithm, is employed to classify and identify working states of the sucker rod pumps. At last, this paper uses the dataset collected from the oil field to corroborate the proposed method. The experimental results ...
I don't really see an easy fix here. Let's consider only integral indices. We defined the indices of the column to be treated in the column transformer depending on the originalX.SequentialFeatureSelectorwill alter the ordering and the column. Thus, one should alter the column indices passed...
Pyspark Collaborative Filtering demo - Spark recommdation algorithm (ALS model) demo with movielens dataset spark APP Pyspark Data Preprocess 1 : PTT - Digest PTT (批踢踢實業坊) data via Pyspark batch operations. PTT Pyspark Data Preprocess 2 : UBER Digest UBER data via Pyspark batch operations...
phase connectivity was estimated using the debiased weighted phase lag index algorithm and compared with the non-parametric bootstrap t test (p ≤ 0.01). In the figure, pairs of sensors that exhibited a significant post-test increase of phase connectivity are linked. Stimulation waveforms are illu...
Different Machine Learning (ML) algorithms are employed to test the system but the greatest prediction accuracy is achieved with gradient based-boosting and Random Forest bagging based methods. In [4], we have already investigated the design of a ML-based QoE prediction model for video services ...
Subsequently, the Extreme Gradient Boosting (XGBoost) algorithm, machine learning algorithm, is employed to classify and identify working states of the sucker rod pumps. At last, this paper uses the dataset collected from the oil field to corroborate the proposed method. The experimental results ...
WORKING gasesSTANDARD deviationsGASWORKSPRINCIPAL components analysisIn order to improve the prediction accuracy of gas emission in the mining face, a method combining least absolute value convergence and selection operator (LASSO), whale optimization algorithm (WOA), and extreme grad...
Control groups were chosen to be as much as possible similar to the study group in order to let the algorithm automatically find the fine balance in relationship between laboratory markers invisible at first glance, and in order to allow the generalization of our model in that manner. Table 1...
Predicting the stress levels of working professionals is one of the most time-consuming and difficult research topics of current day. As a result, estimating working professionals’ stress levels is critical in order to assist them in growing and develop
In order to improve the prediction accuracy of gas emission in the mining face, a method combining least absolute value convergence and selection operator (LASSO), whale optimization algorithm (WOA), and extreme gradient boosting (XGBoost) was proposed, along with the LASSO-WOA-XGBoost gas emission...