地球资源数据云——数据资源详情

岩石或矿山分类

发布时间:2026-03-17 14:32:32资源ID:2031260023660122113资源类型:免费

该数据集《ROCK_OR_MINE CLASSIFICATION》主要用于多分类任务,数据形态以时序/信号为主,应用场景偏向农业场景。 题目说明:ROCK OR MINE CLASSIFICATION 任务类型:时序/信号多分类。 建议流程:先做去噪和窗口化,再比较树模型与 1D CNN/LSTM 等时序基线。 评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。 可用文件:ROCK_OR_MINE.csv。 There is war is going on between two countries submarine of the country is going under the water to another country and enemy country planted some mines in the oceans mine are nothing but explosive that explodes when some object comes in contact with it and there can be rocks in the ocean so submarine needs to predict whether it is crossing mine or rock our job is to make a system that can predict whether the object beneath the submarine is a mine or a rock so how this is done is submarine uses sonar signal that sends sound and receives switchbacks so this signal in the processed to detect whether the object is a mine or it's just a rock in the ocean to predict the rock and mine we use some types of algorithms like decision tree, KNN, Logistic Regression, Random Forest and SVM

岩石或矿山分类

摘要概览

该数据集《ROCK_OR_MINE CLASSIFICATION》主要用于多分类任务,数据形态以时序/信号为主,应用场景偏向农业场景。 题目说明:ROCK OR MINE CLASSIFICATION

任务类型:时序/信号多分类。

建议流程:先做去噪和窗口化,再比较树模型与 1D CNN/LSTM 等时序基线。

评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。

可用文件:ROCK_OR_MINE.csv。

There is war is going on between two countries submarine of the country is going under the water to another country and enemy country planted some mines in the oceans mine are nothing but explosive that explodes when some object comes in contact with it and there can be rocks in the ocean so submarine needs to predict whether it is crossing mine or rock our

job is to make a system that can predict whether the object beneath the submarine is a mine or a rock so how this is done is submarine uses sonar signal that sends sound and receives switchbacks so this signal in the processed to detect whether the object is a mine or it's just a rock in the ocean to predict the rock and mine we use some types of algorithms like decision tree, KNN, Logistic Regression, Random Forest and SVM